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Senior Product Manager, Flora
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Locations: Austin, Lisbon, San Francisco, NYC, or London About the Role Search is being rebuilt around AI. People increasingly get answers from AI instead of a list of links, agents run dozens of searches to answer a single question, and more than half of the traffic reaching sites on Cloudflare is now automated . Search is shifting from a destination to a utility, and Cloudflare is building the search layer for this agentic Internet. Agentic Search at Cloudflare gives agents everything they need to find information, whether it lives in a customer’s own data or on the open web. It spans two products: AI Search for internal data, and Web Search API for the open web. AI Search (internal data), now generally available , is the search primitive for applications and agents . It is a fully managed indexing and retrieval pipeline built on Workers AI , Vectorize , R2 , and Browser Run . Developers connect a website or R2 bucket, or upload their own files, and query them with natural language through a Workers binding, REST API, or MCP server. Under the hood: continuous indexing, hybrid vector and keyword retrieval, reranking, metadata filtering, native multimodal (image) embeddings, and OCR for scanned documents. We use it to power search on our own blog and developer docs. Web Search API (external data), now in open beta , gives agents real-time web context with a single API call. It runs on AI Gateway , so every search gets the same logging, analytics, billing, and access controls as model inference. Developers can choose from multiple search providers and always get results back in one normalized format. Your mission in this role is to make Cloudflare the default place developers and agents go to search, across both their own data and the open web, and eventually in a single call. You’ll also help build a search ecosystem that works for AI companies, site owners, and creators alike. What You’ll Do - Talk directly with developers, AI companies, publishers, and customers every day. - Own the strategy, roadmap, and execution for Agentic Search (AI Search and Web Search API), from ingestion and indexing through retrieval, ranking, and answer generation. - Define and measure what “good search” means, including relevance, freshness, latency, and cost, and build the evals that improve it with every release. - Scale AI Search for the workloads that matter most, like multi-tenant platforms, enterprise agents, and website search, with support for billions of documents, rich media, and built-in observability. - Take Web Search API and shape what comes next: provider partnerships, search and page extraction in one call, blending web and private data, - Own pricing and packaging, and make our products first-class for agents through MCP, agent-friendly APIs, and templates like NLWeb . - Partner with engineering, ML, and product teams across Workers AI , Vectorize , AI Gateway , Browser Run , and AI Crawl Control , as well as Marketing, DevRel, BD, Sales, and Support. - Represent Cloudflare at conferences, community events, and customer and partner meetings. Examples of Desirable Skills, Knowledge, and Experience - Proven experience as a PM, EM, or founder shipping search, information retrieval, data infrastructure, or developer platform products. You’ve led teams to ship before and can point to impact. - Deep understanding of how search works end to end: crawling, indexing, chunking, embeddings, hybrid retrieval (BM25 + vector), query rewriting, reranking, and retrieval-augmented generation (RAG). You understand the tradeoffs between relevance, freshness, latency, and cost. - Experience defining and measuring search quality, including offline evals, relevance judgments, metrics like recall, MRR, and NDCG, and online experimentation. - Fluency in the modern AI ecosystem: LLMs, text and multimodal embedding models, agents, tool calling, and MCP. You’ve built with them yourself and know where they break. - Hands-on ability to write code and use AI and the Internet to learn new things fast. You’ve built a RAG pipeline or an agent that searches the web, and you have opinions about what made it good or bad. - Deep empathy for developers and understanding of their workflows, pain points, and how they adopt new tools and platforms. - Understanding of the web publishing ecosystem: crawlers, bots, SEO and answer engine optimization (AEO), and the changing economics of AI search for content creators. Comfortable working where technology, business, and policy meet. - Experience with usage-based pricing, two-sided marketplaces, or partner and business development relationships, including build-vs-partner decisions, is a plus. - Exceptional communication and collaboration skills. You can translate between ML research, infrastructure engineering, and business stakeholders, and align diverse teams on goals. - Passion for design details and polish. You raise the bar for sweating the details. - External presentation skills. You can walk into a room of developers or AI company leaders and build trust and credibility. Compensation Compensation may be adjusted depending on work location. - For Seattle/NYC/California based hires - Estimated annual salary of: $172,000 - $215,000 - For SF/Bay Area based hires - Estimated annual salary of: $179,000 - $224,000 - For Lisbon based hires - Estimated annual salary of: €68,000 - €85,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Senior Product Manager, Agentic Search
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Locations: Austin, Lisbon, San Francisco, NYC, or London About the Role Search is being rebuilt around AI. People increasingly get answers from AI instead of a list of links, agents run dozens of searches to answer a single question, and more than half of the traffic reaching sites on Cloudflare is now automated . Search is shifting from a destination to a utility, and Cloudflare is building the search layer for this agentic Internet. Agentic Search at Cloudflare gives agents everything they need to find information, whether it lives in a customer’s own data or on the open web. It spans two products: AI Search for internal data, and Web Search API for the open web. AI Search (internal data), now generally available , is the search primitive for applications and agents . It is a fully managed indexing and retrieval pipeline built on Workers AI , Vectorize , R2 , and Browser Run . Developers connect a website or R2 bucket, or upload their own files, and query them with natural language through a Workers binding, REST API, or MCP server. Under the hood: continuous indexing, hybrid vector and keyword retrieval, reranking, metadata filtering, native multimodal (image) embeddings, and OCR for scanned documents. We use it to power search on our own blog and developer docs. Web Search API (external data), now in open beta , gives agents real-time web context with a single API call. It runs on AI Gateway , so every search gets the same logging, analytics, billing, and access controls as model inference. Developers can choose from multiple search providers and always get results back in one normalized format. Your mission in this role is to make Cloudflare the default place developers and agents go to search, across both their own data and the open web, and eventually in a single call. You’ll also help build a search ecosystem that works for AI companies, site owners, and creators alike. What You’ll Do - Talk directly with developers, AI companies, publishers, and customers every day. - Own the strategy, roadmap, and execution for Agentic Search (AI Search and Web Search API), from ingestion and indexing through retrieval, ranking, and answer generation. - Define and measure what “good search” means, including relevance, freshness, latency, and cost, and build the evals that improve it with every release. - Scale AI Search for the workloads that matter most, like multi-tenant platforms, enterprise agents, and website search, with support for billions of documents, rich media, and built-in observability. - Take Web Search API and shape what comes next: provider partnerships, search and page extraction in one call, blending web and private data, - Own pricing and packaging, and make our products first-class for agents through MCP, agent-friendly APIs, and templates like NLWeb . - Partner with engineering, ML, and product teams across Workers AI , Vectorize , AI Gateway , Browser Run , and AI Crawl Control , as well as Marketing, DevRel, BD, Sales, and Support. - Represent Cloudflare at conferences, community events, and customer and partner meetings. Examples of Desirable Skills, Knowledge, and Experience - Proven experience as a PM, EM, or founder shipping search, information retrieval, data infrastructure, or developer platform products. You’ve led teams to ship before and can point to impact. - Deep understanding of how search works end to end: crawling, indexing, chunking, embeddings, hybrid retrieval (BM25 + vector), query rewriting, reranking, and retrieval-augmented generation (RAG). You understand the tradeoffs between relevance, freshness, latency, and cost. - Experience defining and measuring search quality, including offline evals, relevance judgments, metrics like recall, MRR, and NDCG, and online experimentation. - Fluency in the modern AI ecosystem: LLMs, text and multimodal embedding models, agents, tool calling, and MCP. You’ve built with them yourself and know where they break. - Hands-on ability to write code and use AI and the Internet to learn new things fast. You’ve built a RAG pipeline or an agent that searches the web, and you have opinions about what made it good or bad. - Deep empathy for developers and understanding of their workflows, pain points, and how they adopt new tools and platforms. - Understanding of the web publishing ecosystem: crawlers, bots, SEO and answer engine optimization (AEO), and the changing economics of AI search for content creators. Comfortable working where technology, business, and policy meet. - Experience with usage-based pricing, two-sided marketplaces, or partner and business development relationships, including build-vs-partner decisions, is a plus. - Exceptional communication and collaboration skills. You can translate between ML research, infrastructure engineering, and business stakeholders, and align diverse teams on goals. - Passion for design details and polish. You raise the bar for sweating the details. - External presentation skills. You can walk into a room of developers or AI company leaders and build trust and credibility. Compensation Compensation may be adjusted depending on work location. - For Seattle/NYC/California based hires - Estimated annual salary of: $172,000 - $215,000 - For SF/Bay Area based hires - Estimated annual salary of: $179,000 - $224,000 - For Lisbon based hires - Estimated annual salary of: €68,000 - €85,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Member of Technical Staff (Backend/Infrastructure...
Perplexity is looking for an Infrastructure Engineer to own and improve the backend systems behind our latency-sensitive search stack. You’ll work across high-QPS Rust and Go services, distributed retrieval systems, cloud infrastructure, observability, and deployment tooling. This role combines infrastructure expertise with software engineering. You’ll take systems from design through production operation and use AI-native tools where they meaningfully improve engineering and operational workflows Responsibilities - Build and operate scalable, low-latency infrastructure for search serving and retrieval. - Design and improve distributed backend systems that handle high request volumes. - Debug and optimize Linux systems, containers, networking, and production services. - Improve reliability through observability, capacity planning, performance profiling, and incident response. - Design, deploy, and operate cloud-native systems, primarily on AWS and Kubernetes. - Build internal tools and automation for development, testing, debugging, and infrastructure operations. - Improve CI/CD pipelines, release processes, and production rollout safety. - Contribute directly to product codebases across Rust, Go, and other systems languages. - Own systems end to end, from architecture and implementation to deployment and production operation. Requirements - Strong experience with cloud infrastructure, distributed systems, and automation. - Deep understanding of Linux internals, performance analysis, and production debugging. - Experience building or operating latency-sensitive, high-throughput backend systems. - Experience with containers, orchestration, observability, and infrastructure as code. - Experience building or maintaining CI/CD systems and release tooling. - Fluency in at least one systems language, such as Rust, Go, C++, or Java. - Comfort working across infrastructure and application-level code. - Strong ownership and the ability to operate effectively in a fast-moving environment. Nice To Have - Experience with search, retrieval, ranking, or other large-scale data-serving systems. - Experience operating Rust services in production. - Experience with AWS, Kubernetes, and modern observability systems. - Experience with profiling, capacity planning, and performance optimization. - Experience building AI-assisted developer or operational tooling.
Engineering Manager, Infrastructure (Privy)
Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. About the team Engineering at Privy is distinguished by: - High urgency—Shipping very small iterations, very fast, to learn very quickly. - Product taste—Our customers are developers, and to build effective products for them requires technical knowledge —you will often be "the PM". - Security mindset—A great portion of our product is trust. While we have a dedicated security team, every engineer brings security to their designs from the start. In practice, we use boring technology like Node, React, and AWS so we can focus our engineering energy entirely on pushing the boundaries of Privy's core product, e.g. through hardware enclaves, multi-region low-latency APIs, and blockchain abstractions that are accessible to mainstream developers. As an Engineering Manager at Privy, you will lead, grow, and shape high-performing engineering teams that make a massive impact on our product and industry. Your North Star is to enable and drive towards the success of Privy’s business overall. As the Engineering Manager of your team, the buck stops with you: you are the owner of your team’s ultimate impact on Privy’s product and business. We believe that excellence in management is why our team loves working at Privy. Incredible managers are the core driver behind Privy’s long-term success: they are force multipliers, performance coaches, culture-carriers. They build the scaffolding that supports the team and each individual’s greatest impact. They shape Privy to be the place where each person gets to do the very best work of their careers. We wake up every day driven to show up for our team. We shape roles around the unique strengths of every person and we are deeply grateful for the time we spend together building something greater than ourselves. Infrastructure at Privy is fundamentally a product. With both internal engineers (and increasingly non-engineers) as direct consumers of infra platforms, as well as external product offerings, it is essential that the infra team creates powerful abstractions, educates and grows the Privy team on shipping ever-better software, and operates deeply efficient tooling to be the lever arm for which Privy moves the world. What you’ll do - Own long-term team outcomes and success of Privy’s product and business - Drive the future vision of infrastructure of Privy alongside talented infrastructure engineers, across complex, cutting edge technology like secure enclaves (TEEs) and one-click Bring Your Own Cloud deployments, with performance and high scale as a default. - Hold the team accountable to excellence in quality, throughput, and performance - Leading active infrastructure work across the breadth of the company, from service definition, to reliability engineering, to developer tooling, and more - Ensure the team is working on the right scope of work and projects, align decisions with business impact, and build interfaces with other parts of the org - Fill gaps as a player-coach; review PRs, write and review design docs, investigate incidents – stay close to the metal and reinforce our builder culture - Coach engineers towards growth and their career goals - Build a supportive, fun, motivating, celebratory team culture so that the team wins every week Who You Are - Deep ownership and a high-level perspective on driving overall business impact - Performance-oriented mindset, with a high bar for quality and excellence - Technical excellence to be able to independently evaluate quality and technical feedback - High emotional maturity, insightfulness, and care - Strong past experience as a manager and leader – excellent management takes reps - Experience with any of the following a plus: - Designing and operating systems supporting hundreds of millions of users - Secure enclave platforms, like AWS Nitro Enclaves - Observability, incident response, capacity planning, performance tuning, and infrastructure automation (IaC, CI/CD for infra) - Background in building low-latency, high-throughput systems for trading or payment processing - Any blend of public cloud/BYOC architectures
Global Vendor Manager, Data Center Infrastructure
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Atlanta, GA; Austin, TX; Denver, CO; Seattle, WA; Washington D.C. About the Role This role focuses on sourcing and managing suppliers globally for Data Center Infrastructure services, including structured cabling, DC infrastructure installation, power system installation, cooling system deployment, cage/space fitout, and critical infrastructure commissioning. You will create sourcing plans for infrastructure categories and deliver these through supplier capability reviews, technical assessments, pre-qualification, onboarding, and master contract negotiations. This position requires deep technical knowledge of data center infrastructure design and build-out—you must understand power and cooling sizing calculations, cold aisle containment design principles, caging requirements, electrical distribution architectures, and the end-to-end process of a full-scale DC space/cage fitout. You will leverage this expertise to drive informed vendor discussions, evaluate technical proposals against Cloudflare's infrastructure standards, and negotiate competitive pricing that reflects true value and risk allocation. You will forge strategic partnerships with infrastructure vendors, evaluate their performance against clearly defined technical and commercial metrics, and balance the priorities of both Cloudflare and your suppliers to achieve mutually beneficial outcomes. This role complements the Global Vendor Manager, Data Center Services (focused on field services, IT asset disposal, logistics, and rack integration) by owning the infrastructure build, installation, and critical systems domain. Key Job Responsibilities Strategic Sourcing & Category Management - Develop and execute global sourcing strategies for data center infrastructure categories: structured cabling, power systems (UPS, PDUs, generators, electrical distribution), cooling systems (CRAC, containment, airflow), cage/space fitout, fire suppression, and commissioning services - Build and maintain robust supplier portfolios across multiple geographies to support Cloudflare's rapid data center expansion - Conduct market research and supplier landscape analysis to identify qualified vendors, benchmark capabilities, and maintain competitive tension - Create category-specific sourcing plans that balance cost competitiveness, technical quality, vendor capacity, and risk mitigation - Drive supplier diversity and geographic coverage to ensure business continuity and avoid single points of failure Technical Vendor Assessment & Qualification - Perform technical capability reviews evaluating vendor certifications (BICSI, PE licenses, manufacturer credentials), workforce qualifications, and past project delivery - Assess vendor capacity for power and cooling sizing, load calculations, redundancy design (N+1, 2N), thermal modeling, and containment design - Lead technical due diligence including reference site visits, project portfolio reviews, and proof-of-concept evaluations - Validate vendor experience with full-scale DC cage/space fitouts from design through commissioning - Ensure vendors meet Cloudflare's technical, operational, safety, and compliance standards across all regions Supplier Lifecycle & Contract Management - Lead end-to-end supplier onboarding from identification and technical assessment through contract execution - Negotiate master service agreements, statements of work, and pricing frameworks that deliver competitive TCO while maintaining quality - Structure contracts with clear technical specifications, acceptance criteria, performance guarantees, and remediation terms - Manage commercial relationships including pricing reviews, volume commitments, rate card negotiations, and cost optimization - Partner with Legal, Procurement, and Finance on contract governance, compliance, and risk management Performance Management & Governance - Design and implement supplier performance scorecards measuring project delivery timelines, technical quality (workmanship, code compliance, test pass rates), safety performance, cost adherence, and warranty responsiveness - Establish regular business review cadences with strategic suppliers to monitor performance, address gaps, and drive continuous improvement - Manage supplier risk assessments including financial health monitoring, capacity planning, and business continuity planning - Drive corrective action plans when vendors underperform on technical or commercial commitments - Escalate critical performance issues and facilitate resolution between vendors and internal stakeholders Cross-Functional Collaboration & Stakeholder Management - Partner with Infrastructure Engineering, DC Operations, Network Engineering, Power Engineering, and Facilities teams to translate technical requirements into vendor sourcing strategies - Serve as the primary point of contact for DC infrastructure procurement, ensuring clear communication between internal stakeholders and external vendors - Collaborate with Procurement, Legal, and Finance teams on contract governance, compliance, risk management, and budget tracking - Drive cross-functional alignment on supplier selection, performance escalations, contract negotiations, and category strategy - Support project delivery by ensuring vendor readiness, scope clarity, execution oversight, and issue resolution Commercial Negotiation & Vendor Relationship Management - Leverage deep DC infrastructure knowledge to challenge vendor pricing based on material costs, labor rates, project complexity, and market benchmarks - Negotiate volume discounts, preferred pricing tiers, framework agreements for multi-site deployments, and performance-based incentives - Structure risk-sharing models for design-build projects, fixed-price vs. time-and-materials scopes, and contract terms that protect Cloudflare - Build strategic, long-term partnerships with key infrastructure vendors while maintaining competitive supplier markets - Identify opportunities for vendor consolidation, standardization, and total cost of ownership reduction Examples of desirable skills, knowledge, and experience - Bachelor's degree in Electrical Engineering, Mechanical Engineering, Civil Engineering, Construction Management, or related technical field - 8+ years of experience in strategic sourcing, procurement, or supplier management within data center infrastructure, construction, or critical facilities industries - Demonstrated technical knowledge of data center infrastructure including: - Power distribution systems (electrical load calculations, UPS sizing, generator capacity, PDU selection, busway vs. whip distribution) - Cooling systems (cooling load calculations, CRAC/CRAH sizing, airflow CFM requirements, containment strategies, PUE optimization) - Structured cabling design (fiber and copper topologies, cable management, pathway sizing, testing standards) - Full-scale DC cage/space fitout process (layout design, clearance requirements, raised floor, overhead ladder rack, environmental separation) - Proven experience negotiating commercial agreements and managing infrastructure supplier relationships end-to-end - Strong project management skills with the ability to manage multiple sourcing initiatives and deliver results on time - Excellent analytical and problem-solving skills with attention to technical and commercial detail - Effective communication and interpersonal skills; able to collaborate with engineers, operations teams, and vendors while influencing without direct authority - Comfortable working in a fast-paced, global environment with distributed teams and suppliers across multiple time zones - Proficiency in Google Workspace applications and familiarity with procurement, contract management, or ERP systems Bonus points - Master's degree in Engineering, Business Administration, Construction Management, or Supply Chain - Professional certifications such as BICSI RCDD/DCDC/OSP, CDCP/CDCE, PE license in Electrical or Mechanical Engineering, PMP, or procurement certifications (CPSM, CPM, CSCP) - 7+ years of experience in strategic sourcing with direct experience managing data center infrastructure vendors (cabling, power, cooling, fitout, commissioning) - Hands-on experience in data center construction, infrastructure deployment, or commissioning—ideally as a former engineer, project manager, or technical lead who transitioned into vendor management - Deep familiarity with data center design standards: TIA-942, Uptime Institute Tier Standards, ASHRAE thermal guidelines, NFPA 70/75/76, hot/cold aisle containment strategies - Experience in hyperscale, colocation, or high-growth cloud infrastructure environments - Advanced skills in TCO modeling, cost optimization, vendor benchmarking, and financial analysis for infrastructure projects - Ability to read and interpret technical drawings including single-line electrical diagrams, mechanical P&IDs, structured cabling schematics, and floor plan layouts - Familiarity with data center energy efficiency, sustainability initiatives, and renewable energy procurement Compensation - For Denver based hires: Estimated annual salary of 93,000 - 128,000 USD - For Seattle based hires: Estimated annual salary of 104,000 - 143,000 USD - For Washington D.C. based hires: Estimated annual salary of 104,000 - 143,000 USD The final offer will be in alignment with the applicable law and collective bargaining agreements. Applications will be accepted until November 25, 2026. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Backend Engineer, UI Platform
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The UI Platform team, known as Sail, builds the foundations behind Stripe’s Dashboard and many other user interfaces. Sail Services owns the systems that evaluate feature flags and experiments, ingest frontend analytics, and improve Dashboard load times for Stripe’s largest merchants. We build backend-for-frontend capabilities that connect Stripe’s backend systems to its UI platform. This gives product teams a consistent way to build and operate user experiences without recreating the same infrastructure. What you’ll do As a Backend Engineer on the Sail Services team, you’ll help build and evolve the systems that power Stripe’s user interfaces. You’ll independently drive software projects from problem definition through production, working closely with other UI Platform engineers, product teams, and infrastructure partners. Your work will range from APIs and GraphQL integrations to edge systems, architectural migrations, and the tooling needed to operate them safely at scale. Responsibilities - Take end-to-end ownership of software projects, aligning on priorities and then independently scoping problems and carrying solutions through design, implementation, testing, rollout, and operation - Design, build, and operate reliable, scalable APIs and backend systems that support Stripe’s Dashboard, mobile applications, and other user interfaces - Help modernize Stripe’s UI architecture through incremental migrations, automated validation, shadow traffic, and carefully controlled production rollouts - Improve the reliability, observability, performance, and operability of services on critical user paths - Partner with frontend, backend, and infrastructure engineers to understand their needs and turn recurring problems into reusable platform capabilities - Use AI-assisted and agentic development workflows to improve implementation, testing, validation, and delivery - Contribute thoughtful code reviews, technical discussions, documentation, and runbooks that improve the quality of the team’s work Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - Fluency in using AI-assisted and agentic development tools as part of day-to-day software engineering, including critically reviewing, validating, and improving generated code - 2+ years of professional software engineering experience, or equivalent practical experience, building, shipping, and operating production systems - Strong knowledge of backend technologies and infrastructure, including the fundamentals of APIs, data storage, distributed systems, and production operations - Ability to independently scope and deliver open-ended software projects, making practical technical and product tradeoffs with limited oversight - Strong problem-solving and debugging skills, with attention to testing, maintainability, reliability, and user impact - Strong written and verbal communication skills and the ability to collaborate effectively with frontend engineers, product engineers, and infrastructure partners Preferred qualifications - - Experience building backend-for-frontend systems, UI platform services, developer platforms, or shared infrastructure - Experience designing or integrating APIs, including GraphQL APIs - Experience with high-throughput event ingestion, feature flag or experimentation systems, or other latency-sensitive platform services - Familiarity with caching, asynchronous systems, configuration systems, or data-consistency tradeoffs - Experience executing large migrations using automated validation, shadow traffic, feature flags, or staged rollouts - Experience using data, developer feedback, or operational signals to improve a platform or developer-facing product
Software Engineer, Identity Infrastructure
About the Team The Identity Infrastructure Engineering team builds the identity and access systems that OpenAI’s researchers, engineers, and internal teams rely on to protect critical systems and data. We partner with Research, Applied Engineering, Infrastructure, IT, and Security to make secure access practical across cloud and internal environments. About the Role We’re looking for a hands-on software engineer to design and build high-scale, high-throughput secure access proxies and the distributed systems behind them. These are tier-zero services: researchers, engineers, and agents depend on them to reach critical infrastructure safely and reliably. You’ll work at the intersection of networking, distributed systems, and infrastructure security, building the serving paths and control-plane integrations that connect identities to resources. Teleport is a core part of the current platform; the role also includes credential brokers, policy enforcement, and developer-facing integrations. You’ll own the services you build from design and implementation through production. That means understanding human, agent, and workload traffic, improving throughput and tail latency, making authorization decisions auditable, and designing for safe multi-region rollout and recovery. We’re looking for someone who can turn a demanding security requirement into software that works well at scale and is straightforward for other engineers to use. In this role, you will: - Design and implement secure access proxies, gateways, and credential brokers that provide narrowly scoped, auditable access to infrastructure and internal services while reducing standing privileges.. - Integrate identity and access policy across clients, proxies, and target systems so approved permissions take effect promptly and access expires or is revoked when required. Ensure correct behavior when policy is stale or sessions remain active. - Build observability that explains the end-to-end access path: latency, errors, saturation, authorization decisions, and identity attribution, without leaking credentials. - Engineer safe multi-region rollouts, canaries, rollback, failover, and recovery. Validate changes with realistic test environments, load tests, and failure testing. - Keep core access services reliable, performant, and maintainable. Own production support, maintenance, upgrades, and incident recovery; ship durable fixes that reduce recurring failures, alert noise, and manual work. - Make secure access easy to adopt through reusable APIs, client tooling, diagnostics, and self-service workflows. Lead migrations that preserve critical workflows, with tested rollback and recovery paths and clear ownership across Infrastructure, Security, and SRE. You might thrive in this role if you: - Have built and operated production backend, proxy, networking, or infrastructure services with demanding scale or availability requirements. - Have practical networking depth and can reason about HTTP, TCP, TLS, DNS, routing, and load balancing across real request paths. - Can explain how you handled performance bottlenecks, partial failures, multi-region deployment, or a difficult production change in a system you personally built. - Understand authentication, authorization, least privilege, trust boundaries, credential handling, and the consequences of an access-control failure. - Have strong software engineering fundamentals and experience with Go, Rust, Python, or similar languages. - Use tests, profiling, telemetry, and reproducible experiments to debug across system boundaries and verify correctness, performance, and recovery. - Make practical scope decisions, communicate tradeoffs clearly, and follow through from code to production. Teleport or comparable access-platform experience is helpful; strong engineering and production ownership matter more than knowing every tool. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Engineering Manager, Data Center Operations
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About the Department Infrastructure Operations builds and manages the data center infrastructure behind Cloudflare's global network. The organization brings together engineering, operations, hardware and logistics teams that plan, deploy, operate and maintain our footprint in hundreds of cities worldwide. In this role, you'll help extend that footprint with a new generation of data center sites across the United States. About the Role We're looking for an experienced Data Center Operations manager to build and run the team that brings these new sites online and keeps them running around the clock. You will build a distributed team of Data Center Engineers from the ground up. You'll own sites across their full lifecycle: delivering greenfield builds through third-party vendors and colocation partners, running them in production, and retiring hardware securely at end of life. You'll be accountable for production hardware availability, 24x7 on-site response, and the operating model that lets this footprint scale. The role means balancing competing demands every day: build deadlines against build quality, dependence on partners against high standards, and fast incident response against careful compliance. You need to keep both sides of each in view. This role covers the physical layer: hardware, cabling, and Layer 1/Layer 2 connectivity. It works closely with network engineering and server provisioning teams but does not own them. What You'll Do Team Leadership - Hire, develop and manage Data Center Engineers based on-site at data centers across the US. Set clear expectations, career paths and a culture of ownership across a team spread over many sites. - Build and take part in a 24x7 on-call rotation with your team. Define coverage models, handover protocols and incident SLAs that hold up as the footprint grows. - Serve as the escalation point for on-site incidents. Coordinate engineers, colocation providers and vendors to restore service quickly, and lead root-cause analysis after major incidents so the same problem doesn't happen again. Site Delivery - Own build timelines from site readiness through hardware delivery, rack-and-stack, cabling, validation and handoff to production. - Run greenfield builds as multi-workstream programs. Coordinate third-party integrators, contractors and colocation providers to hit dates without cutting corners. - Be on-site during key build phases to oversee vendor work, verify quality and make sure sites are production-ready. Production Operations - Be accountable for availability targets for production hardware at your sites. Run break/fix, repairs, RMAs and spares strategy so that availability is measured, reported and improving. - Manage colocation providers and vendors day to day: escalations, remote-hands quality, power and cooling issues, and performance against contractual commitments. Documentation and DCIM - Make sure every site is fully documented in DCIM from day one. That covers rack elevations, power and cabling, asset location, and lifecycle status, all recorded as hardware arrives rather than filled in later. - Treat infrastructure records as a source of truth that both operations and dependent teams rely on, giving them accurate, current visibility into where hardware is and what state it's in. - Partner with tooling teams to bring DCIM online at new sites, and define documentation standards that hold up as the footprint grows. Decommissioning and Hardware Lifecycle - Own on-site decommissioning end to end: unracking, physical collections, serial number verification, chain of custody, and handoff for secure destruction. - Partner with vendor management on IT asset disposition (ITAD) vendors. Make sure destruction certificates and compliance evidence are filed and audit-ready. Security and Compliance - Make sure your sites and team meet Cloudflare's physical security, access control, chain-of-custody and compliance obligations. - Follow established physical access procedures, and work with security and compliance teams to develop new ones where these sites need them. - Support audits with accurate, timely evidence. Treat audit readiness as a continuous standard, not something you prepare for once per audit cycle. Automation and Operational Efficiency - Find manual, repetitive work in build, break/fix, decommissioning and evidence collection. Influence tooling and automation teams to remove it. - Evaluate and adopt AI-assisted workflows for incident triage, root-cause analysis, documentation and compliance evidence generation. - Scale the operation through tooling, not just headcount. Business Reporting - Own weekly business reviews and monthly and quarterly reporting on availability, build progress, incidents and operational health to the Director and peer leaders. - Partner with network, systems, hardware, supply chain and infrastructure engineering teams to make sure physical operations support what runs on top of them. Who You Are A builder who stays to operate. You've stood up sites and teams, and you take ownership of what happens after go-live. Delivering a build is where your job starts. If it isn't documented, it isn't done. A leader of distributed teams. You've hired and built trust with on-site engineers spread across many locations, most of whom you won't see day to day. You know how to create accountability, consistent standards and a shared culture across sites, both remotely and in person. Firm with partners. You hold colocation providers and vendors to high standards without becoming adversarial. You know the contract, you track performance, and you escalate when it's warranted. Compliance-minded without being a compliance specialist. You understand why access controls and decommissioning chain of custody are audit controls. You treat compliance as part of doing the work well, not as overhead. Automation-first. When something hurts, your first instinct is to fix the process or the tooling, not add people. You can turn an operational pain point into requirements engineering teams can act on. Required Experience - 6+ years in data center operations, including 3+ years directly managing on-site technical teams. At least part of that time should be leading geographically distributed teams. - A track record of operating multi-site data center fleets at hyperscale or large-cloud scale. - Hands-on experience with IT hardware, including servers, network devices, optics and cabling, not only facilities infrastructure. - Enough hands-on depth to coach engineers on technical work and to judge the quality of vendor and contractor work. - Experience owning sites across the full lifecycle: delivering greenfield data center or cage builds through third-party vendors, running them in steady state, and decommissioning hardware. - Experience managing providers in Tier III+ colocation facilities and holding them accountable to commitments. - Experience managing 24x7 on-call operations and incident escalation. - Strong Layer 1 and Layer 2 fundamentals: structured cabling, fiber and optics, patching standards, switching basics, and troubleshooting physical connectivity for network and server hardware. - Solid knowledge of data center power and cooling, rack design, high-density deployments and hardware lifecycle management. - Strong understanding of DCIM and asset management systems. You should have a track record of keeping documentation accurate from day one, including rack, power, cabling and asset records maintained from hardware arrival through decommissioning. - Working knowledge of the security and compliance frameworks common in enterprise-grade data centers. You should understand them well enough to run operations under them; auditor-level expertise isn't required. - Strong program management skills across multiple vendors, sites and time-bound workstreams. - A track record of reducing toil through tooling or process redesign. - Excellent written and verbal communication, including regular business reviews and status, risk and availability reporting to leadership. - Ability to travel regularly to data center sites. Expect more frequent travel during site builds, shifting to periodic visits as sites reach steady state. Preferred Qualifications - Experience standing up a new data center operations function or region from zero. - Background at a hyperscaler, cloud provider, major CDN or similarly fast-scaling infrastructure company. - Experience with ITAD vendor programs and secure destruction requirements. - Experience with PagerDuty or similar on-call and incident tooling. - Familiarity with DCIM and source-of-truth tooling such as NetBox or Nlyte, Jira-based operational workflows, and Confluence documentation practices. - Experience with remote-hands programs and vendor scorecards. - Background in hardware diagnostics, burn-in or automated build validation. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
IT Financial Compliance Senior Manager
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Financial Compliance team’s mission is to establish and maintain the company’s financial and regulatory compliance, including requirements under the Sarbanes-Oxley Act of 2002 (SOX) and related frameworks over internal controls, IT general controls, and financial reporting. This team works closely with Engineering, Security, Finance, and external auditors to ensure systems, processes, and data meet regulatory expectations while supporting business growth! As an IT Financial Compliance Senior Manager, you will evaluate systems, databases, and processes to ensure strong control design and effective operation across infrastructure, change management, and financial data pipelines. You will partner closely with engineering and business teams to identify control gaps, implement practical solutions, and support compliance with SOX and other regulatory requirements. This role plays a key part in ensuring financial reporting integrity and audit readiness while contributing to scalable compliance practices across the organization. This role is based in our Menlo Park, CA, New York, NY, and Chicago, IL offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do - Design and maintain IT infrastructure controls, including environment segregation, access pathways, configuration baselines, and logging and monitoring aligned to SOX and regulatory requirements. - Partner with Platform, Infrastructure, and Security teams to align system architecture and operational processes with control objectives and audit evidence expectations. - Assess new systems, tools, and services (such as cloud platforms, data stores, and security tooling) to identify control gaps and define remediation actions. - Lead IT SOX readiness and integration effort for new acquisitions. - Perform IT SOX assessments ahead of product launches and system upgrades/migrations to ensure timely compliance. - Lead IT change management and production access governance, including approvals, testing, deployments, rollback procedures, emergency changes, and least-privilege access controls across production environments. - Map end-to-end data flows supporting financial and regulatory reporting, identifying key interfaces, transformations, and control points to ensure completeness and accuracy. - Partner with Data Engineering and Finance teams to design and implement controls over data reconciliation, monitoring, and retention across reporting pipelines. - Execute and oversee testing of IT general controls and application controls, evaluate deficiencies, identify root causes, and coordinate remediation with engineering and operations teams. - Prepare and maintain control documentation, process narratives, flowcharts, and audit evidence to support internal and external audits. - Serve as a subject matter expert in IT controls during audits and translate regulatory requirements into clear, technical implementation guidance for engineering teams. - Identify opportunities to automate control execution and evidence collection and contribute to standardizing control frameworks, tooling, and documentation across the organization. What you bring - 8+ years of experience in IT audit, IT risk, IT compliance, infrastructure engineering, or a related field, with strong exposure to SOX IT general controls and application controls. - Strong knowledge of cloud infrastructure (such as AWS, GCP, or Azure), networking, identity and access management, and modern deployment practices including CI/CD and infrastructure-as-code. - Hands-on experience with change management processes and tools, including version control workflows, ticketing systems, release management, and emergency change procedures. - Experience designing or testing controls over data pipelines, including data transformations, reconciliations, and monitoring practices. - Proven ability to collaborate with engineering teams to implement practical control solutions and explain control requirements in technical terms. - Strong analytical, documentation, and project management skills, with the ability to manage multiple initiatives and deadlines. - Clear written and verbal communication skills, with experience working with external auditors and senior stakeholders. What we offer - Challenging, high-impact work to grow your career. - Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. - Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents. - Access to the Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds. - Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not. - Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more. - Employer-paid life & disability insurance, fertility benefits, and mental health benefits. - Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! - Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $170,000 - $200,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $150,000 - $176,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $133,000 - $156,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Rack Integration Operations Engineer
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About the Department The Infrastructure Engineering team builds and scales Cloudflare’s global network, ensuring high availability, security, and performance across hundreds of cities worldwide. Within Infrastructure Operations, the Hardware Integration group acts as the bridge between engineering designs and physical deployment, overseeing key third-party manufacturing partnerships, hardware quality, and supply chain logistics to keep our expanding footprint running seamlessly. Role Summary As a Rack Integration Operations Engineer , you will serve as a technical quality gatekeeper and operational partner across Cloudflare's hardware build programs. Working collaboratively within the Infrastructure Engineering and Strategy teams, you will bridge the gap between engineering specifications and external contract manufacturing partners. In this role, you will ensure Bill of Materials (BOM) accuracy, optimize materials planning, track partner performance, and actively modernise internal operations by building light, AI-enabled automations to streamline repetitive workflows. Key Responsibilities Engineering & Quality Review - Ensure BOM Accuracy: Review and validate complex BOMs prior to release to integration partners, proactively identifying part substitutions, spec mismatches, and potential build blockers. - Bridge Engineering & Production: Partner closely with hardware design engineers to resolve design change requests (DCRs) and BOM discrepancies throughout the build lifecycle. - Maintain Technical Quality Standards: Leverage functional expertise across rack-level power, networking, server, and firmware architectures to evaluate build compliance against Cloudflare specifications. Materials & Logistics Operations - Support Materials Planning: Contribute to demand forecasting and materials planning for rack build programs, aligning partner capacity with component lead times. - Coordinate Supply Chain Logistics: Oversee inbound and outbound logistics for components and finished racks between partners and Cloudflare sites through to final shipment. Partner & Program Management - Drive Partner Execution: Serve as an operational point of contact for external hardware integration partners regarding build progress, scheduling, and issue resolution. - Track SLAs & Quality Metrics: Contribute to vendor scorecards and KPI tracking across build quality, on-time delivery, and cost efficiency; lead root-cause analyses for recurring defects. - Maintain Program Visibility: Track hardware build cycles in Jira, leading documentation, status check-ins, and project closeouts alongside cross-functional teammates. AI Innovation & Process Automation - Automate Operational Workflows: Identify manual, repetitive tasks across BOM reviews, reporting, and partner tracking, using AI tools and LLM prompt engineering to streamline processes. - Analyze Performance Data: Evaluate spend, build timelines, and quality trends using AI-assisted analysis tools to surface actionable operational insights. - Build Shared Tooling: Develop, document, and maintain sustainable, lightweight automation scripts and workflows for adoption across the broader team. Qualifications Requirements - Vendor & Manufacturing Experience: Professional background managing hardware vendor or contract manufacturing (EMS/ODM) relationships, including BOM validation, quality tracking, and schedule management. - Hardware & BOM Proficiency: Practical ability to evaluate rack-level technical specifications (power distribution, networking, server hardware, firmware) to ensure manufacturing compliance. - Program Management Discipline: Hands-on experience managing operational workflows in Jira, with a track record of tracking and reporting on team KPIs and SLAs. - Applied AI & Automation Skills: Practical experience using AI tools or LLMs to automate concrete workflows, optimize reporting, or perform data analysis. - Cross-Functional Collaboration: Strong written and verbal communication skills, with a track record of working effectively across engineering, procurement, supply chain, and external partner teams. Desirable / Bonus Qualifications - Background in data center infrastructure hardware (servers, network switches, rPDUs, enterprise cabling). - Experience writing lightweight scripts (Python, Google Apps Script, or similar) paired with AI developer tools. - Familiarity with global hardware supply chain and logistics operations. - Experience with Oracle ERP Cloud (e.g., SCM, Procurement, Inventory Management) or comparable ERP platforms such as SAP or NetSuite, particularly for BOM management, purchase orders, and materials tracking. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Security Engineer, New Grad
Who we are: About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe offers an interesting middle ground between joining a small startup and going to work for a multinational company. We have systems and processes optimized for early-career professionals. You will be in an environment that prizes rigor, discipline, and reliability—from our products, from our ways of working, and from our colleagues. You will learn how the best teams put together extremely reliable systems, and you will be responsible for operating these systems, with adequate backup when things get tough. The Security organization is dedicated to building and maintaining a secure financial infrastructure platform. By joining this team, you will be on the front lines, engineering solutions that protect the sensitive data and systems underpinning a huge portion of the world's economy. You will contribute to core security functions like threat detection and rapid incident response, building and scaling the platforms that manage vulnerabilities, and proactively performing offensive security assessments to identify weaknesses before they can be exploited. This is a chance to apply software engineering principles and new technologies such as AI to solve complex, high-stakes security challenges, ultimately ensuring that Stripe's mission to increase the GDP of the internet is achieved securely. What you’ll do As a Security Engineer New Grad you will have the opportunity to work across various security disciplines and own projects from start to finish. Your work will focus on securing Stripe's complex environment by applying software engineering principles to security challenges. - You will learn and apply the principles of secure-by-default design by working closely with product and infrastructure engineering teams. - You'll develop a foundational understanding of various security domains, such as t hreat detection, incident response, vulnerability management, or offensive security. - You'll learn to act as a security subject matter exper t , tailoring answers to both engineers and non-engineers. - You'll contribute to the development of internal tools and automation to scale security efforts across Stripe. - You will participate in threat modeling discussions, learning to balance security requirements with product advancement and user experience. Responsibilities - Work on cross-functional projects, directly collaborating with other engineers - Give meaningful feedback on code reviews and technical designs - Contribute to our overall security posture by continuously improving security processes, tooling, and defenses. - Develop a deep understanding of Stripe’s security primitives, frameworks, and invariants. - Provide actionable insights to help identify, prevent, detect, and respond to anomalous or potentially malicious activity. Who you are: We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - Currently enrolled in a Bachelor’s or Master’s program in Computer Science or related field (graduating by Summer 2026) - Some experience and familiarity with programming, either through side projects or classwork. We work mostly in Java, Ruby, Python, JavaScript, Scala, and Go. We believe new programming languages can be learned if the fundamentals and general knowledge are present - Experience from either previous internships or working collaboratively on multi-person coding projects (in a university or professional setting) - Ability to learn unfamiliar systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts - Aptitude to think like an attacker and reason through different approaches to reducing security risk. Preferred qualifications - Experience in code review practices, and an understanding of how to safely update production systems - Familiarity with navigating and managing work in large code bases - Prior experience or course work in cyber security, digital forensics, or incident response (e.g., through log analysis or capture-the-flag events). - Familiarity with foundational security concepts such as the OWASP Top 10 web application vulnerabilities. - Basic knowledge of SQL or experience analyzing medium to large data sets. - Exposure to cloud computing platforms such as AWS, Azure, or Google Cloud Platform. - An adversarial mindset, understanding the goals, behaviors, and TTPs (tactics, techniques, and procedures) of threat actors.
Senior Software Engineer - Security Platform
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations - Atlanta, US - Austin, US - Denver, US - New York, US - San Francisco, US - Seattle, US - Washington DC, US - Canada About the Role The Security Platform team is an infrastructure/developer tools group tasked with building and operating powerful, resilient, and secure infrastructure and systems that enable other engineering teams to deliver products to our customers efficiently and securely. We are responsible for secrets management, internal certificate authorities/PKI, machine and workload identity, and more. We are not a policy, audit, or compliance team, but rather an infrastructure engineering/software development one. Responsibilities You’ll build and operate secure and resilient distributed systems for secrets and key management, running across our network that spans more than 310 cities in over 120 countries. Our focus is strengthening/re-architecting internal PKI and machine/workload identity. You’ll run and support the systems we build, both in an operational sense and by helping other internal developers use them. You will participate in the On Call rotation for emergency incident response. You’ll consult on the design and architecture of new systems and products to ensure they are built securely and use our services correctly. Required skills - Software development and distributed systems design expertise. - Linux/UNIX system administration proficiency. - Strong security background with a focus on implementation, not policy/compliance. Bonus/nice-to-have skills - Track record of contributing to open source security or distributed systems projects. - Cryptography background and ability to work with cryptosystems at the primitives level. - Experience with HSMs, TPMs, or other platform TEEs (e.g. AMD SEV, Intel SGX, Apple Secure Enclave). - Familiarity with HashiCorp Vault or OpenBao, or similar. - Familiarity with Go and/or Python + Salt specifically. Compensation Compensation may be adjusted depending on work location. - For California based hires: Estimated annual salary of $194,000 - $266,000 - For Colorado based hires: Estimated annual salary of $168,000 - $231,000 - For New York based hires: Estimated annual salary of $185,000 - $254,000 - For Washington based hires: Estimated annual salary of $185,000 - $254,000 - For Washington DC based hires: Estimated annual salary of $185,000 - $254,000 - For Canada based hires: Estimated annual salary of $150,000 - $206,000 Applications will be accepted until December 25, 2026. Equity This role is eligible to participate in Cloudflare's equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Senior Forward Deployed Engineer (DevOps)
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Hybrid | Austin, San Francisco About the Role Cloudflare's Senior Forward Deployed Infrastructure Engineers work where Cloudflare's infrastructure meets customer impact. As a Forward Deployed Infrastructure Engineer, you will be embedded with one of Cloudflare's most strategic customers, collaborating to ensure modern cloud compute capacity is available, reliable, and ready when needed. You will guide new capacity from delivery to production, partnering with Cloudflare's data center and hardware teams to ensure systems pass validation, come online smoothly, and uphold Cloudflare's high standards. You will serve as a bridge connecting Cloudflare's infrastructure, hardware, and data center teams with the customer's engineering organization. You'll ensure teams work from a shared vision, clear operational roadblocks, and feed real-world insights back into how Cloudflare builds and evolves its platform. This role is ideal for engineers who want to: - Stay deeply technical and hands-on with real production infrastructure. - Guide outcomes from hardware delivery through running workloads. - Shape how Cloudflare delivers compute capacity at scale. - Build long-term, trust-based partnerships with world-class engineering teams. Responsibilities - Capacity Onboarding & Delivery: Lead bringing new compute capacity online for the customer, collaborating on planning, provisioning, validation, and handover to production. Drive turn-ups that are predictable, efficient, and repeatable. - Hardware & Spec Validation: Partner with teams to ensure delivered systems meet agreed specifications. Define acceptance criteria and validation workflows, including burn-in, benchmarking, and health checks across compute, storage, and networking. Work alongside on-site data center teams to execute checks and resolve issues. - Standards & Operational Readiness: Champion Cloudflare's build, configuration, security, and observability standards prior to capacity launch. Ensure comprehensive monitoring, alerting, and runbooks are established for all production systems. - Cross-Team Alignment: Act as the central point of collaboration between Cloudflare's infrastructure, hardware engineering, data center operations, supply chain, and network teams, alongside the customer's engineering group. - Technical Accountability: Serve as the primary technical point of contact for the customer's infrastructure, guiding account strategy and technical direction for supporting Cloudflare resources. - Reliability & Incident Response: Engage in operational rhythms with the customer and Cloudflare, including standups, capacity reviews, change management, and incident response. Facilitate blameless root-cause analysis and post-incident improvements . - Automation & Tooling: Develop production-quality automation and tooling for provisioning, validation, and fleet management to continually improve rollout efficiency. - Capacity Planning & Forecasting: Partner with the customer to understand future demand, forecast capacity needs, and proactively identify constraints. - Feedback Loop & Product Influence: Surface real-world operational issues and platform opportunities with Cloudflare's Infrastructure, Hardware, and Product teams to inform future roadmaps. - Strategic Relationship Management: Cultivate trusted technical relationships with senior stakeholders (Staff+ engineers, Directors, and VPs) across both organizations. - On-Site Presence: Spend time regularly on-site at customer offices to foster close communication and partnership with their engineering teams. Desirable Skills, Knowledge, and Experience At Cloudflare, we know that great candidates come from diverse backgrounds with non-linear paths. You don’t need to tick every single box to be right for this role. If you are excited about building a better Internet and ready to make an impact, please apply. - Infrastructure & SRE Background: Solid experience in infrastructure engineering, SRE, or production engineering, with a track record of running and scaling large-scale production systems. - Capacity & Fleet Operations: Practical experience bringing server capacity online, encompassing provisioning, imaging, configuration management, and fleet-scale lifecycle management. - Hardware Fluency: Familiarity with server hardware, firmware, BMC/IPMI/Redfish, and diagnostics. Ability to set validation standards, triage issues remotely, and partner with on-site technicians. Experience with GPUs or specialized accelerators is a plus. - Linux & Networking: Strong understanding of Linux systems and core networking principles (TCP/IP, BGP, DNS, load balancing, and data center topologies). - Automation & Development: Proficiency in languages such as Go, Python, or Rust, along with experience using infrastructure-as-code and configuration management tools (e.g., Terraform, Ansible, Salt). - Production Ownership: Experience supporting mission-critical services, including on-call rotations, incident response, SLO management, and reliability engineering. - Observability: Familiarity with monitoring, metrics, and logging frameworks (e.g., Prometheus, Grafana, ClickHouse) to maintain system health proactively. - Containers & Orchestration: Exposure to Kubernetes or similar platforms and workload scheduling on newly provisioned capacity. - AI-Augmented Workflows: Interest or experience in leveraging modern AI tools to streamline automation, debugging, and documentation. - Program-Level Coordination: Demonstrated ability to coordinate complex, multi-team delivery efforts across regions and time zones with clear communication and alignment. - Proactive Problem-Solving: A self-motivated approach to identifying bottlenecks—whether technical or procedural—and collaborating with partners to implement durable fixes. - Stakeholder Communication: Ability to engage comfortably in strategic technical discussions with executive-level stakeholders, translating infrastructure context into business outcomes. Bonus Points - Prior experience at a hyperscaler, cloud provider, or large-scale data center environment. - Familiarity with Cloudflare's platform and network architecture. - Experience in customer-embedded or partner-facing technical infrastructure roles. - A history of sharing knowledge, such as technical writing, internal mentorship, open-source contributions, or community presentations. Compensation Compensation may be adjusted depending on work location. - For Bay Area based hires: Estimated annual salary of $194,000 - $266,000. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Senior Technical Program Manager
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Technical Program Manager, Performance and Infrastructure – Engineering PMO Cloudflare is seeking a highly skilled, self-motivated Technical Program Manager (TPM) to lead strategic, multi-quarter initiatives within our Performance and Infrastructure organization. As a vital link between Product, Engineering, Capacity Planning, Finance, and Reliability, you will drive a unified strategy from initial conception through to successful execution. In this role, you will be deeply involved in gathering requirements, defining deliverables, and reporting on progress. You will manage stakeholder expectations, proactively identify risks and dependencies, and ensure the delivery of predictable, high-impact outcomes. The ideal candidate is process-oriented yet remains flexible and iterative. You excel at navigating ambiguous technical challenges, fostering collaboration across teams, and asking the insightful questions necessary to drive stakeholders toward measurable results. This position requires a professional capable of managing complex tradeoffs and coordinating teams across global time zones. Key Responsibilities As a Senior Technical Program Manager (TPM), you will be responsible for a portfolio of foundational infrastructure initiatives, including program planning, execution cadence and leadership reporting and alignment. This role is a product-minded TPM position that combines technical program discipline with shaping program vision, customer needs, use cases, success measures, and roadmap tradeoffs. This role requires a strong blend of technical acumen, strategic thinking, and organizational leadership. Program and Portfolio Leadership - Strategic Planning: Lead execution for key initiatives, focusing on Infrastructure Efficiency and Engineering Reliability. - Leadership Alignment: Partner with Product and Engineering leaders to establish goals, metrics, and decision frameworks. - Portfolio Visibility: Maintain program plans, roadmaps, dependency maps, and executive status reports. - Cross-Functional Alignment: Align Product, Engineering, Infrastructure, Capacity, Data, Finance, Ops, and Security teams. - Decision Management: Identify tradeoffs early, document decisions, and manage escalations to resolution. - Customer Representation: Represent internal technical users and integrate their workflows into program planning. Infrastructure Efficiency - Utilization Insights: Establish fleet-wide reporting for resource usage (CPU, bandwidth, memory, storage I/O, and RPS) to inform capacity planning and cost-efficiency strategies. Build automations and AI agents to handle routine program administration at scale. - Strategic Alignment: Coordinate shared dependencies across Infrastructure Engineering, Capacity Planning, Traffic Engineering, and Network Infrastructure workstreams where resource management and tracking intersect. Engineering Reliability - Program Ownership: Lead end-to-end chaos engineering, from test planning and execution to results publication. - Execution & Readiness: Coordinate readiness reviews, go/no-go decisions, and safe execution of production resilience tests. - Tracking & Reporting: Track remediation, evaluate program impact, and maintain roadmaps, dashboards, and runbooks. Desirable Skills and Knowledge - BS+ in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience. - 5+ years of technical program management experience, preferably in infrastructure, reliability, performance, data platforms, distributed systems, or large-scale engineering environments. - Strong technical fluency with infrastructure systems, telemetry/observability, reliability practices (SLO/SLIs), capacity planning, data pipelines, traffic management, progressive rollouts, or blast-radius reduction. - Proven experience partnering with Product and Engineering to clarify vision, represent internal customer workflows, define use cases, prioritize requirements, and measure success. - Ability to create realistic project plans, manage dependencies, and oversee execution to meet commitments and deliver with predictability. - Excellent communication skills, with the ability to tailor technical complexity for diverse audiences, from engineering teams to executive leadership. - Experience working across multiple time zones and multiple cross-functional teams. - Fluent with Confluence, Jira, dashboards, and project planning tools. - Hands-on experience or a strong competency in leveraging AI productivity tools and development platforms to automate routine program administration, with rigorous human-in-the-loop review of AI output - Comfortable managing tight deadlines, changing priorities, and ambiguity - Experience with various development and delivery methodologies (Agile, Waterfall, Kaizen, Scrum, or hybrid approaches). - Ability to bring structure to ambiguity, act as a self-starter, and drive issues to resolution with empathy and sound judgment. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
MTS Lead, Identity and Access Management
OUR MISSION Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all. ROLE OVERVIEW The Head of Identity and Access Management is responsible for architecting, building, and operating Reflection’s identity infrastructure — the foundational security layer in an environment where the perimeter is entirely identity-based and the threat model includes sophisticated, highly motivated nation-state actors targeting intellectual property, training pipelines, and model weights. This leader will design and operate a bleeding-edge, zero-trust identity architecture that treats identity as software, eliminates static credentials, and protects Reflection’s researchers and massive-scale compute environments without introducing friction. This is not a traditional enterprise IAM or Active Directory management role. The ideal candidate is a security architect and software engineer in equal measure — capable of mandating hardware-backed phishing-resistant authentication globally, building just-in-time credentialing systems for GPU cluster access, and engineering dynamic, context-aware authorization pipelines that hold up against the most advanced adversary techniques. They bring first-principles cryptographic depth, cloud-native mastery, and the software engineering capability to build custom tooling where commercial solutions fall short. This is a high-stakes, high-visibility role at the center of Reflection’s security posture. Success requires the ability to build identity infrastructure that is simultaneously state-of-the-art in its security guarantees and genuinely developer-friendly in its design — because at Reflection, security that slows down a researcher is security that has failed. WHAT YOU'LL DO Next-Generation IAM Architecture - Design and implement a resilient, cloud-native identity architecture leveraging modern IdPs (Okta, OIDC/OAuth 2.0 federations) unified with edge-enforced zero-trust access networks (Cloudflare Access, Tailscale / WireGuard topologies). - Architect and continuously evolve the organization’s identity boundary with a first-principles approach — replacing legacy constructs with modern, cryptographically-grounded alternatives at every layer. - Own the full identity lifecycle architecture across corporate, production, and research environments, ensuring consistency, auditability, and resilience across all access surfaces. Phishing-Resistant Zero Trust - Mandate and enforce hardware-backed authentication (YubiKeys/WebAuthn) globally across all corporate, production, and research endpoints. - Eliminate SMS, TOTP, and legacy MFA bypass vectors — driving the organization to a posture where phishing-resistant authentication is the only path. - Design and operate zero-trust access controls that enforce least-privilege dynamically, incorporating device posture, user context, and behavioral signals into access decisions. Privileged Access Management & Compute Security - Build short-lived, just-in-time credentialing systems for engineering and research access to massive GPU clusters across AWS, GCP, and OCI environments. - Replace SSH keys and long-lived credentials with ephemeral, short-lived certificate-based access via tools like Teleport or HashiCorp Boundary. - Design and enforce privileged access workflows that give researchers and engineers the access they need — instantly, securely, and with full audit trail — without creating persistent attack surface. Workload & Machine Identity - Architect SPIFFE/SPIRE or cloud-native cryptographic identity frameworks for service-to-service communication across the full workload landscape. - Ensure machine accounts, training jobs, and CI/CD pipelines use dynamic, short-lived tokens rather than long-lived secrets — eliminating static credential exposure as an attack vector. - Maintain and evolve workload identity infrastructure as the compute environment scales, ensuring machine identity remains cryptographically sound and operationally reliable at scale. Policy as Code & Developer Integration - Treat authorization policies as code using Open Policy Agent (OPA)/Rego, Cedar, or equivalent frameworks — with full version control, testing, and deployment pipelines. - Integrate policy evaluation directly into developer workflows and infrastructure deployment pipelines, ensuring authorization is enforced at build time as well as runtime. - Partner with engineering teams to design access models that make the secure path the path of least resistance — eliminating the developer friction that causes security to be circumvented. Automation, Lifecycle Management & Detection - Build automated provisioning and deprovisioning workflows via SCIM and API-first tooling, ensuring identity lifecycle events are handled with speed, accuracy, and full audit trail. - Partner with Detection Engineering to instrument identity telemetry and build detection logic targeting anomalous authentication flows, session hijacking attempts, and nation-state adversary tactics. - Continuously improve automation coverage across the identity stack, reducing manual toil and eliminating the human error surface in identity operations. WHAT WE'RE LOOKING FOR Experience & Background - 15+ years of dedicated experience in identity security, security architecture, or infrastructure engineering within high-growth startups, hyperscale cloud environments, or elite security teams. - Demonstrated track record of architecting and operating modern, zero-trust identity infrastructure at scale — including hardware-backed authentication, JIT credentialing, and workload identity systems. - Hands-on experience securing IAM boundaries across major cloud providers (AWS, GCP) and containerized environments, including Kubernetes identity federation and IAM roles for service accounts. - Practical experience building and operating privileged access management systems for large-scale compute environments, including GPU cluster access in cloud or neocloud contexts. - Prior experience partnering with detection and response teams to instrument identity telemetry and build adversary-focused detection logic targeting identity-layer attack techniques. Skills & Capabilities - Deep, first-principles understanding of OAuth 2.0, OIDC, SAML, WebAuthn / FIDO2, and PKI — able to reason from cryptographic fundamentals, not just implement vendor tooling. - Strong software engineering capability — able to write clean, maintainable code (Go, Python, or Rust) to build custom tooling, API integrations, and automation where commercial solutions fall short. - Proficiency in Infrastructure as Code (Terraform, Pulumi) for defining and managing identity constructs programmatically. - Clear, working knowledge of advanced adversary techniques targeting identity, including session token theft, OAuth consent abuse, device registration hijacking, and Golden SAML vectors. - Demonstrated ability to design identity systems that balance rigorous security guarantees with developer-friendly operational experience — treating usability as a security property, not a trade-off. Mindset & Approach - Developer and researcher obsessed — genuinely believes that security is broken if it impedes a researcher’s ability to train a model, and designs systems where the secure path is also the easiest path. - A bleeding-edge pragmatist — keeps current with the latest developments in the identity and security ecosystem, preferring modern open-source and developer-first tooling over legacy enterprise security suites. - Resilient and threat-aware — understands that Reflection is a high-value target and constructs identity boundaries with the explicit assumption that individual components will be compromised, designing for resilience rather than relying on perimeter integrity. - A builder at heart — energized by the challenge of engineering identity infrastructure from scratch in an environment where the stakes are existential and the technical bar is genuinely high. - Mission-aligned — understands the unique identity security responsibilities of a frontier AI company and approaches the work with the depth of expertise and seriousness of purpose it demands. WHAT WE OFFER: We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported. - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally. - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options. - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance. - Meals: Lunch and dinner are provided in the office daily. - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys. - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K. - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable. - Team building: We have regular off-sites, happy hours, and team celebrations. Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization. Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf
Member of Technical Staff, Security Engineer
Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone. Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal. ABOUT THE ROLE: As a Security Engineer at Magic, you will build the software, automation, and infrastructure that protect our models, systems, and engineering organization from both traditional and frontier AI cyber threats. You will respond to security threats, help us build good practices around security incident/threat response. The role sits at the intersection of software engineering, infrastructure, and security. You will work closely with researchers, infrastructure engineers, and platform teams to reduce risk while considering the productivity impact. You will help us make the secure path the easy, productive path. The threat landscape is changing, supply chain attacks are a major concern, prompt injections and other LLM-native attack vectors are worrying. As frontier AI systems become increasingly capable, security is evolving beyond defending infrastructure alone. Modern models can autonomously discover vulnerabilities, chain exploits across multiple systems, manipulate agents through prompt injection, and escape “secure” containment. AI safety is extremely important to us at Magic. You will collaborate with our alignment team on whatever they might need to ensure that Magic's models are a safe net-benefit to the world. WHAT YOU MIGHT WORK ON: - Design, build, and maintain security tooling and automation used by Magic's engineering teams - Secure developer infrastructure, CI/CD pipelines, build systems, and production services and make the platform tools easy to use - Support our sandboxes team with building secure sandboxing and isolation for untrusted code, agent and model execution - Build guardrails against emerging AI attack vectors, including prompt injection, tool abuse, exploit chaining, and autonomous model behavior - Protect model weights, research artifacts, datasets, and production infrastructure from unauthorized access, lateral movement, and exfiltration - Respond to security incidents and live threats WHAT WE’RE LOOKING FOR: - Software engineering skills with experience building production systems in Rust, Go, Python, C++, Kotlin, TypeScript, or similar languages - A very good understanding of modern MITRE att&ck techniques - Actively engaged in the role of LLMs in securing and attacking software systems - On-call readiness 24/7, assisted by our team - Experience securing distributed systems, cloud infrastructure, or large-scale production environments - Ability to develop high-complexity cloud Linux-based exploits - Deep understanding of UNIX or other operating systems, networking, authentication, authorization, and modern security architecture - Experience building automation and tooling to secure fast paced organizations - Track record of exceptional personal integrity, accountability and trustworthiness in high autonomy environments OUR CULTURE - Integrity. Words and actions should be aligned - Hands-on. At Magic, everyone is building - Teamwork. We move as one team, not N individuals - Focus. Safely deploy AGI. Everything else is noise - Quality. Magic should feel like magic Magic strives to be the place where high-potential individuals can do their best work. We value quick learning and grit just as much as skill and experience. COMPENSATION, BENEFITS, AND PERKS (US): - Annual salary ranges between $225K - $550K based on experience - Equity is a significant part of total compensation, in addition to salary - 401(k) plan with 6% salary matching - Generous health, dental and vision insurance for you and your dependents - Unlimited paid time off - Visa sponsorship and relocation stipend to bring you to SF, if possible - A small, fast-paced, highly focused team
Staff Software Engineer - Infrastructure Storage
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. In the world of distributed AI, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible. The Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware. Our expertise lies at the intersection of: - High-Performance Distributed Storage Solutions and Protocols: We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs. - Dynamic Networking: We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware. - Compute Virtualization: We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs. About the Role: We are seeking a seasoned Staff Storage Software Engineer with deep experience designing and deploying storage protocol solutions at scale across object, block, and file paradigms. This is a unique opportunity to work at the intersection of large-scale distributed systems and the rapidly evolving field of artificial intelligence infrastructure. This is an opportunity to have a significant impact on the future of AI. You will be building the foundational infrastructure that powers some of the most advanced AI research and products in the world. What You’ll Do - Technical Leadership: Set technical direction for storage software architecture across petabyte-scale deployments, authoring and reviewing design docs, mentoring senior engineers, and serving as the technical anchor for cross-functional initiatives spanning storage, networking, compute, and control plane teams. Represent the storage software team in architectural reviews, roadmap planning, and customer-facing technical discussions. - Execution: Design, develop, and maintain high-performance storage systems software across file (NFS, SMB, Lustre), block (NVMe-oF, iSCSI), and object (S3) protocols. Build distributed systems for orchestrating storage resources, integrate with NVMe/GPU-direct/DPU-accelerated hardware, and troubleshoot complex production issues across performance, protocol, and hardware failure domains. Own the full lifecycle from requirements and design through deployment, monitoring, and maintenance, including benchmarking, profiling, and capacity planning tooling. - Collaboration: Partner closely with storage software, networking, control plane, Kubernetes, observability, compute, and fleet engineering teams to deliver cross-functional infrastructure initiatives, define and track storage SLOs/SLIs, and ensure reliable deployment and maintenance of distributed storage infrastructure. - Innovate: Stay current with AI and HPC storage research, evaluate emerging protocols and hardware (from open-source filesystems to vendor-specific accelerated storage), and optimize solutions for AI workloads including checkpoint I/O, high-throughput dataset serving, and latency-sensitive inference pipelines. You Have: - Experience: 10+ years in storage systems engineering, with 5+ years in a technical lead or Staff+ IC role. Proven track record designing and operating multi-petabyte storage infrastructure in production data center or cloud environments. Background in HPC, AI/ML infrastructure, or large-scale cloud storage. - Systems-Level Programming: Strong proficiency in C, C++, Rust, or Go. Ability to write high-performance, concurrent, production-grade systems code. Familiarity with DPDK/SPDK and kernel-bypass data paths is a plus; kernel-level storage driver or storage daemon experience is even better. - Storage Protocol & API Expertise: Deep hands-on experience with two or more protocols, object (S3), block (iSCSI, NVMe-oF), or file (NFS, SMB, Lustre, DAOS), including implementing or maintaining protocol servers/clients in production, not just consuming them. - Storage Performance Optimization: Experience profiling and tuning for throughput, latency, and IOPS under real workloads using tools like fio, elbencho. - Modern Storage Technologies: Working knowledge of NVMe, NVMe-oF, RDMA (RoCE or InfiniBand), and DPUs (e.g., NVIDIA BlueField). - Operational Acumen: Comfortable in physical data center environments, rack-scale infrastructure, storage hardware, failure domains. Experience designing for reliability, writing runbooks, and driving incident response. Familiar with storage observability tooling (Prometheus, Grafana, log aggregation, tracing). Nice to Have - Experience with NVIDIA BlueField DPUs or SuperNICs for accelerated storage data paths, including GPUDirect Storage implementation. - Deep production experience with enterprise or HPC storage platforms: Vast Data, Weka, NetApp, or Lustre. - Experience deploying and operating Ceph like service at scale (100PB+) in an HPC or AI infrastructure environment. - Familiarity with emerging storage technologies such as CXL memory pooling, computational storage, or ZNS (Zoned Namespace) SSDs. - Experience contributing to or maintaining open-source storage projects (e.g., Ceph, DAOS, Lustre, MinIO). Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda - Founded in 2012, with 500+ employees, and growing fast - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG - Our values are publicly available: https://lambda.ai/careers - We offer generous cash & equity compensation - Health, dental, and vision coverage for you and your dependents - Wellness and commuter stipends for select roles - 401k Plan with 2% company match (USA employees) - Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Staff Site Reliability Engineer
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM: CorpTech Platform is the internal engineering force multiplier behind Anduril’s corporate systems. It drives CorpTech engineering forward through strategic investment in data platforms, software platforms, QA and release excellence, ERP engineering, and AI infrastructure. We build the foundations that power both CorpOS, enabling Finance and Growth to operate with speed and precision, and ArsenalOS, the digital backbone of Anduril’s hardware enterprise. By unifying systems, accelerating development velocity, and embedding intelligence into every layer, CorpTech Platform transforms how the company operates end to end. We are also driving Anduril toward becoming an autonomous enterprise. Through initiatives like the Autonomous Software Factory, we are rethinking how software is built, tested, deployed, and evolved by integrating AI directly into the engineering lifecycle. CorpTech Platform is how Anduril scales its business systems with the same rigor, speed, and adaptability as its mission critical products. ABOUT THE JOB: This Staff SRE role sets the reliability architecture for the systems that run Anduril’s business and manufacturing operations. You are not responding to tickets. You are the person who decides how production works: how services are observed, how deployments are safe, how incidents are managed, and how reliability scales as the platform grows. You own the infrastructure and mechanisms that make reliability a property of the platform rather than a function of individual heroics. The role carries broad organizational reach. You will influence how software engineering teams across CorpTech Platform build and operate their systems, set the standards that govern production readiness, and make infrastructure decisions that affect every service in the portfolio. You bring both deep systems expertise and the judgment to know which reliability investments matter most at each stage of the platform’s growth. WHAT YOU"LL DO: - Set the reliability architecture for CorpTech Platform’s production environment, including observability infrastructure, deployment systems, incident management, capacity planning, and failure-domain isolation. - Design and operate the observability platform, including metrics, distributed tracing, structured logging, alerting, and dashboarding infrastructure that gives engineering teams real production visibility at scale. - Own deployment infrastructure and release-safety mechanisms, including progressive rollout systems, canary analysis, automated rollback, and deployment gates that let the organization ship fast without gambling on production stability. - Define and govern SLO frameworks that make reliability measurable and actionable, creating shared language between SRE, product engineering, and leadership for making trade-off decisions. - Identify systemic reliability risks across the platform and drive infrastructure or automation investments that eliminate entire failure classes rather than patching individual symptoms. - Establish production-readiness standards and review processes that engineering teams adopt during design and pre-launch, embedding reliability into the development lifecycle rather than bolting it on after release. - Lead incident response for complex, multi-system failures and drive post-incident processes that produce durable systemic improvements rather than shallow fixes. - Develop reliability patterns for AI-enabled systems, including monitoring for model behavior drift, non-deterministic output degradation, and graceful fallback under novel failure modes. - Provide technical direction to SRE and infrastructure engineers, facilitate cross-team architecture decisions, and represent reliability concerns in platform-level planning and prioritization. - Drive capacity planning, cost optimization, and performance engineering for the platform’s critical paths and shared infrastructure. REQUIRED QUALIFICATIONS: - 10+ years of experience in site reliability engineering, production engineering, infrastructure engineering, or a closely related discipline, including experience operating at architecture or platform-wide scope. - Demonstrated experience designing and owning reliability infrastructure that multiple engineering teams depend on, including observability platforms, deployment systems, or incident management tooling at meaningful scale. - Deep technical fluency across distributed systems, container orchestration (Kubernetes), cloud platforms (AWS, GCP, or Azure), networking, storage, and the failure modes specific to each layer. - Proficiency in systems programming languages (Go, Python, Rust, or equivalent) used for building production infrastructure, tooling, and automation. - Demonstrated experience defining SRE standards, production-readiness frameworks, or operational maturity models and influencing adoption across engineering teams without formal authority. - Track record of leading incident response for complex, multi-system failures and converting post-incident findings into infrastructure investments that prevent recurrence. - Proven ability to work independently through ambiguity, define reliability strategy without top-down direction, and sequence investments against competing organizational demands. - Excellent written and verbal communication skills, with the ability to influence senior engineers, engineering leadership, and cross-functional partners on infrastructure and reliability decisions. - Degree in Computer Science, Information Systems, Engineering, or related technical field, or equivalent practical experience. - U.S. Person status is required as this position needs to access export controlled data. PREFERRED QUALIFICATIONS: - Experience designing or operating observability platforms (Datadog, Grafana, Prometheus, OpenTelemetry) at organizational scale, including decisions about instrumentation standards, data pipelines, retention, and cost management. - Experience building deployment and release-safety infrastructure, including canary systems, progressive delivery, feature flagging, and automated rollback mechanisms. - Experience with reliability engineering for AI-enabled or ML-serving systems, including monitoring non-deterministic behavior, building evaluation-driven alerts, and designing graceful degradation for model failures. - Familiarity with frontier AI tooling, AI coding assistants, and AI-enabled software development workflows. - Experience in hyper growth startup-like environments, with demonstrated success scaling reliability practices alongside rapid engineering growth. - Familiarity with enterprise systems and business process domains such as ERP, MES, WMS, CRM, finance systems, or manufacturing systems. - Eligible to obtain and maintain a U.S. Secret security clearance. US Salary Range $191,000 - $253,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Senior AI Infrastructure Engineer
We’re Heidi. We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. In just 18 months, our clinical AI products have absorbed the administrative chaos of 73 million patient visits. Today, we support over 2.5 million patient sessions a week across 190+ countries. Healthcare systems are failing us; clinicians spend more time on documentation than on patients, and the human connection that makes medicine worth practicing is eroding. Our mission is simple: double the world’s healthcare capacity and strengthen the human connection at its heart. We found product-market fit with a freemium medical scribe that clinicians love. Now, we're expanding. Every task a clinician hands to Heidi is a patient who feels more attended to, a health system unclogged, and a clinician who gets to be a clinician again. If you don’t choose easy and you want to build something way bigger than yourself then, choose the challenge, choose Heidi. The role This role sits in the model team, the researchers and engineers who train, deploy, and own the AI models behind every Heidi product. You’ll build and operate the infrastructure that makes those models fast, reliable, and cost-effective at scale. Your work will span production model serving, GPU cluster management, and the infrastructure supporting training and evaluation. You’ll decide how workloads share compute, diagnose performance bottlenecks, and build the deployment and observability tools that help the team move quickly with confidence. We’re looking for a hands-on engineer who has deployed and operated models in production, understands the demands of GPU workloads, and can take a system from initial design through rollout, incidents, and ongoing improvement. You’ll partner closely with researchers and our platform engineers, with ownership of the systems you build. What you’ll do - Build and own model-serving infrastructure. Take models from checkpoint to production, with repeatable deployment pipelines, request routing, autoscaling, fallback paths, and controlled rollouts and rollbacks across regions. - Manage GPU clusters and workload scheduling. Improve resource allocation across inference, training, and evaluation. Build scheduling policies around workload priority, quotas, hardware topology, and recovery requirements so online services stay responsive while other workloads make productive use of capacity. - Improve inference performance. Profile real workloads and improve latency, throughput, and memory efficiency. Evaluate batching, KV-cache management, quantization, speculative decoding, and parallelism strategies against production traffic and quality requirements. - Support distributed training and model iteration. Give researchers reliable ways to launch fine-tuning and training jobs, manage model artifacts, save and restore checkpoints, and move validated models into serving. Reduce time lost to failed jobs, slow data loading, and manual setup. - Make deployments observable and incidents traceable. Connect application requests and sessions to the exact model, deployment configuration, and worker that served them. Build dashboards and alerts covering model latency, queueing, errors, GPU health, memory pressure, and workload performance. - Own production reliability. Define service objectives, investigate incidents across the application, inference engine, GPU, and network layers, and build recovery procedures that work. Turn recurring failures into fixes, automated checks, and useful runbooks. - Make compute costs actionable. Track GPU usage, idle capacity, and inference cost by model and workload. Use capacity forecasts and measured performance to guide deployment choices and improve cost per successful request without sacrificing quality or reliability. - Build a platform the model team can use independently. Automate provisioning, configuration, benchmarking, and releases. Partner with the engineers behind ASR, note generation, Evidence, and Dictate so new models can be deployed and evaluated through consistent, well-supported workflows. What you'll need - A strong engineering foundation. Hands-on AI infrastructure experience. At least 1 year building and operating infrastructure for large language models, including model deployment, inference serving, or distributed training. You can design the system, write the code, and own it in production. - Production model deployment experience. You’ve deployed and maintained LLMs or other demanding ML workloads using engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, or comparable systems. You understand the work between loading a model and running a reliable service. - GPU cluster and orchestration experience. You’ve managed GPU workloads using Kubernetes, Slurm, or an equivalent platform, with practical experience in scheduling, resource allocation, capacity planning, and failure recovery. - Performance debugging skills. You can use traces, metrics, and profiling tools to distinguish compute, memory, communication, and scheduling bottlenecks. You understand how batch size, context length, precision, and multi-GPU execution affect performance and cost. - Strong software and systems skills. You’re proficient in Python and comfortable with backend or systems development in Go, C++, Rust, or a comparable language. You have practical experience with Linux, containers, deployment automation, and distributed services. - Operational ownership. You’ve owned production incidents, built useful monitoring, and made releases recoverable. You can explain the trade-offs behind a design and work effectively with researchers, product engineers, and infrastructure partners. Nice to have - Experience with distributed training frameworks such as PyTorch FSDP or Megatron, or infrastructure for reinforcement learning and rollout generation. - Experience tuning inference engines, serving MoE models, or implementing quantization, speculative decoding, and prefill/decode disaggregation. - Familiarity with GPU interconnects, NCCL, RDMA, topology-aware scheduling, or diagnosing multi-node communication problems. - CUDA or Triton kernel development, contributions to AI infrastructure projects, or experience building cluster operators and scheduling integrations. - Experience operating infrastructure across multiple regions or providers, particularly for healthcare or other sensitive production workloads. How we show up - Build for the next decade, not next quarter. Our targets are outrageous on purpose. The world's health doesn't have the luxury of incrementalism. - Lead, don't wait. We treat tomorrow's problems today. Sometimes we build what's needed before it's wanted, and we're fine with that. - Follow the evidence. Trust the patient. We pursue truth relentlessly. But when the subjective and objective disagree, we treat the patient, not the numbers. Ego is a comorbidity we can't afford. - Own the outcome. Everyone here carries the company. Raise problems with solutions, solve them end-to-end, and never be a bystander. - Ship, measure, go again. A button today, a workflow tomorrow. More iterations beat better planning. We're precise at pace, not reckless. - Live in clinicians' reality. Not the ideal workflow, the twenty-patients-before-lunch actual one. We build for exhausted humans, and we'd better be decent ones while we do it. Why Heidi? You’ll join a team focused on real-world impact over imaginary valuations and glossy PR. We live and breathe the challenges of modern health systems, and are laser-focused on exacting the change we’d like to see. We’re medicos, engineers, builders, and designers who’ve felt the moral and practical toll of what non-care feels like. True A-players progress extremely fast here. The nature of the scale-up game is demanding, but we value sustainable performance and mental health. You're trusted to perform, and you set your schedule. We operate on outcomes > inputs, not process theatre. We all take the bins out, metaphorically and literally. Building what we’re building isn’t always easy. But we didn’t choose easy, we chose to build something that actually matters. We hold ourselves to a higher standard because healthcare demands it. If you join Heidi, you recognise that the deeper question isn’t whether AI can solve the global healthcare crisis, but whose hands will shape it. The work is hard, but you will trust and admire the people you work beside, and rest easy knowing you’re doing the defining work of your career. We take care of you. We offer a $1,000 annual learning and development budget, a $150/month health and wellness allowance, a $500 home office budget, 26 weeks paid primary parental leave and 18 weeks paid secondary parental leave, fertility support up to $10,000, four weeks of work from anywhere per year, and serious equity.
2027 Internship Onboard Infrastructure Engineer, M...
JOIN THE TEAM BRINGING ADVANCED AUTONOMY TO THE BUILT WORLD At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects. We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction. This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us. ABOUT THE ROLE & TEAM The Onboard Infrastructure team builds the core engine of Bedrock’s autonomous heavy machinery — where safety, real-time control, and millisecond-level responsiveness are non-negotiable. As an Onboard Infrastructure Intern, you will bridge frontier AI and real-time execution by integrating Large Language Models (LLMs) and Vision-Language-Action (VLA) models into our core stack, ensuring multi-billion parameter multi-modal models run within strict, deterministic deadline budgets on edge compute. WHAT YOU'LL DO - Integrate open-source and proprietary LLM/VLA models into our onboard Rust middleware stack alongside existing perception, planning and control pipelines. - Profile and optimize model execution using TensorRT, vLLM, ExecuTorch or custom edge inference runtimes tailored for NVIDIA Jetson Thor. - Streamline sensor tokenization (cameras, LiDAR) to feed real-time streams directly to models without latency spikes in vehicle control loops. - Identify and eliminate bottlenecks across memory bandwidth, compute, and IPC using tools like Nsight Systems, Nsight Compute and eBPF. - Validate your performance optimizations directly on heavy autonomous machinery at our test sites. WHAT WE'RE LOOKING FOR REQUIRED - Currently pursuing a BS, MS, or PhD in Computer Science, Electrical/Computer engineering, Robotics or a related field. - Proficiency in Rust or C++, with supporting experience in Pytorch or JAX. - Solid foundation in GPU architectures, CUDA, or parallel computing. - Understanding of modern systems concepts: multithreading, OS and GPU scheduling, memory management, asynchronous programming and IPC. BONUS POINTS - Practical experience deploying neural networks on constrained hardware using TensorRT, ONNXRuntime or ExecuTorch. - Experience with LLM/VLA optimization techniques such as KV-cache management, FP8/INT4 quantization, continuous batching or speculative decoding. - Exposure to multi-modal/VLA models or robotics frameworks. Bedrock Robotics is an Equal Opportunity Employer We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic. Reasonable Accommodations We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
Staff MLOps Engineer
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better. JOB SUMMARY Apptronik is seeking a Staff MLOps Engineer to own the technical direction of our MLOps platform — the system of record for datasets, experiments, model artifacts, and serving paths that connects teleoperation data collection on one side to deployed autonomy on Apollo on the other. In this role, you will set the architecture for the platform layer above the training cluster: dataset lifecycle, experiment tracking, model registry, evaluation harnesses, and the serving / packaging path that delivers trained policies to robots in the field. You will lead by influence across MLOps, Autonomy, Data Platform, and TeleOp — establishing the standards, contracts, and tooling that turn one-off research code into a repeatable, auditable pipeline from data to deployed model. This is a hands-on technical leadership role, not a management position; you will be a primary contributor while mentoring the engineers around you, and partnering closely with the Training Infrastructure engineer who owns the cluster layer beneath the platform. ESSENTIAL DUTIES AND RESPONSIBILITIES Platform Architecture & Ownership - Technical Direction: Own the technical direction for the MLOps platform — define subsystem interfaces, drive architecture decisions, and establish engineering standards for how datasets, experiments, and models move through Apptronik's systems. - Cross-Team Authority: Serve as the primary technical point of contact for Autonomy, Data Platform, and TeleOp on all matters of model lifecycle and platform contracts. Dataset Lifecycle & Versioning - Versioning & Lineage: Design and operate the dataset layer end-to-end — versioning, lineage, splits, and labeling-integration handoff. - Reproducibility: Ensure every trained model can be traced back to the exact data and code that produced it. Model Registry & Artifact Management - Registry: Build and operate a first-class model registry — versioned artifacts, metadata, evaluation results, lineage, and approval workflows. - Promotion Path: Define the promotion path from "trained" to "qualified" to "deployed to robot." Evaluation & Qualification Harnesses - Automated Evaluation: Define the offline benchmarks, simulation rollouts, and policy-gating harnesses that any model must pass before reaching Apollo. - Metrics Framework: Develop the metrics framework that the autonomy team trusts to gate releases. Serving, Packaging & Deployment to Robot - On-Robot Path: Own the path from registered model to running inference on Apollo — packaging (ONNX, TensorRT, torch.compile), versioning on-robot, rollback, and observability of deployed policy behavior. - Telemetry Seam: Coordinate with Connect and Data Platform on the deploy-and-telemetry seam back from the fleet. Mentorship & Cross-Functional Leadership - Mentorship: Mentor mid-level and senior engineers on the MLOps team through code review, design review, and direct collaboration. - Influence: Partner with the Training Infrastructure engineer on the cluster/platform contract, and influence research workflows across Autonomy to standardize on the platform's primitives. SKILLS AND REQUIREMENTS - Deep proficiency in Python and at least one systems-level language (Go, Rust, or C++), with demonstrated ability to make and defend architectural tradeoffs in production ML platforms - Proven experience owning and delivering an MLOps platform end-to-end — dataset lifecycle, experiment tracking, model registry, evaluation, and serving — at a company that ships models to production - Expertise across the model lifecycle: dataset versioning (DVC, LakeFS, Delta, or equivalent), experiment tracking (MLflow, W&B, Determined), model registry, and policy serving - Strong background designing service-oriented systems on Kubernetes; comfortable with the contract between platform APIs and underlying compute infrastructure - Experience defining evaluation and qualification frameworks for ML models where the cost of a regression is high (robotics, safety-critical, or production-customer-facing) - Experience leading technical projects end-to-end: architecture, implementation, validation, and iteration - Demonstrated ability to lead by influence across teams — setting standards that other engineers adopt voluntarily, and mentoring engineers around you - Proficiency with cloud infrastructure (AWS, GCP, or Azure), Docker, Git, and modern CI/CD workflows EDUCATION and/or EXPERIENCE - Master's degree in Computer Science, Machine Learning, or a related technical field preferred; Bachelor's considered with exceptional experience. - 8+ years of professional software engineering experience in ML platforms or related infrastructure, OR 4+ years of direct, hands-on experience owning an MLOps platform that shipped models to production. Preferred Qualifications: - Experience deploying ML models to edge or embedded targets (on-device inference, ONNX Runtime, TensorRT, robot fleets) - Experience with RL training and evaluation infrastructure for embodied agents (rollout workers, replay buffers, sim-eval harnesses) - Familiarity with humanoid robotics, dexterous manipulation, or teleoperation data domains - Experience with simulation-in-the-loop evaluation (IsaacSim, MuJoCo, or equivalent) - Familiarity with policy gating, shadow deployments, or staged rollout strategies for autonomy - Open-source contributions to MLOps platform tooling (MLflow, BentoML, KServe, Ray Serve, etc.) PHYSICAL REQUIREMENTS - Prolonged periods of sitting at a desk and working on a computer - Must be able to lift 15 pounds at times - Vision to read printed materials and a computer screen - Hearing and speech to communicate *This is a direct hire. Please, no outside Agency solicitations. Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Senior Software Engineer - Autonomous Ops & Mainte...
The Autonomous Ops & Maintenance (ATOM)Team is developing an innovative platform that leverages artificial intelligence and automated systems to empower engineering groups in safely executing complex operations and software maintenance. Their primary objective is to minimize repetitive toil while delivering the precise visibility, oversight, and trust necessary to run automated solutions in mission-critical environments. Consider it an intelligent virtual collaborator operating alongside development and infrastructure engineers, directly offloading routine operational overhead that currently requires manual intervention. We are looking for a Senior Software Engineer to help us design and scale our foundational architecture. In this role, you will synthesize vast technical datasets into rich structured knowledge, engineer AI-driven components capable of analyzing intricate operational workflows, and construct highly reliable systems to execute automated modifications seamlessly. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Lead a greenfield initiative from inception to scale, shaping foundational product architecture, engaging directly with users to refine early concepts - Build mission-critical solutions that customers depend on daily - Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Who You Are: - You have 6+ years of experience - You have a BS/MS/PhD in a scientific field or equivalent experience - You are proficient in Go - You are comfortable building and operating production services end to end: You will independently own features and components, work through ambiguous technical problems, and be responsible for the reliability, observability, and operational quality of what you ship - You have experience with large scale distributed systems - You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output - Bonus Point: You have experience with Kubernetes, workflow orchestration systems, or building AI agents Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: (Describe opportunities offered here) - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Continuous professional development, product training, and career pathing - Intradepartmental mentor and buddy program for in-house networking - An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) - Access to Inclusion Talks, our internal panel discussions - Free, global mental health benefits for employees and dependents age 6+ - Competitive global benefits LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .
Engineering Manager, Edge SRE
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: London About the Department As part of the Cloudflare Infrastructure Engineering organization, our platform SREs are primarily responsible for production reliability. SREs are based in locations in Asia, Europe and the US enabling follow the sun coverage during daytime hours. SREs are supported by all engineering teams at Cloudflare who participate in on call schedules for their services. The SRE teams facilitate remediation and follow up of production issues and mature the tooling to enable all engineering teams to self-service on production. Incident follow up work across all engineering teams is prioritized above product innovation and the impact of production incidents influences the priority. SREs support two main environments: Edge SRE are focused on edge distribution where most client traffic is served. Core SRE are focused on the core services like control plane, data pipeline and other supporting supporting services Who you are - You have 5+ years of software engineering, reliability, or operations experience in a customer-focused environment. - You have 2+ years experience managing a team of 5 or more engineers on projects in the areas of: distributed systems, tooling, Linux, Internetworking, infrastructure security or infrastructure management - You are comfortable collaborating and co-ordinating on cross-team projects and workflows - You can provide a strong technical vision for systems and infrastructure teams - You have experience building services and systems, have successfully taken projects from inception to production, and are comfortable diving in to provide leadership for major projects when needed - You are capable of leading a discussion with upper management, and are able to tailor the level of technical detail to suit your audience What you'll do We are looking for an Engineering Manager to lead the Edge SRE team in London. You will lead and develop a team of SREs that are responsible for Cloudflare edge production and building the tools for all teams to understand and interact with it. You will play a lead role in driving our Platform initiatives for edge services and will be tasked with leading engineers who build tools and best practices for engineering teams to debug in production, measure availability and performance indicators, track and report on thresholds. Key responsibilities - Lead a team of engineers who are working to keep the Cloudflare edge reliable and scalable - Mentor, grow, and empower your team by giving them the skills, confidence and motivation to make decisions - Help the individuals on your team to build and execute personal development plans that align with Cloudflare’s goals and objectives - Take an active role in prioritizing the roadmap for the SRE Org - Drive cross-team and cross-org alignment in engineering, infrastructure and product teams - Partner with other Engineering Managers across Cloudflare to achieve reliability outcomes for their services - Participate in deep technical design discussions within your team, and across partner teams, and ensure that we're building the right systems and keeping the quality high Examples of desirable skills, knowledge and experience - Hands-on experience with software or reliability engineering - Experience leading and hiring a team that builds and runs tools and platforms - Excel at planning and overseeing execution to meet commitments and deliver with predictability - Incident root cause analysis and follow-ups - Incident management - Comfortable managing teams/projections with deadlines and short release cycles - Experience using observability tools such as Jaeger, OpenTracing, ELK, Prometheus, Thanos, Grafana, Clickhouse - Experience running and maturing distributed systems - Familiarity working with Proxies, DNS, Databases, Internet and Security - Experience developing tools and APIs What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Staff Software Engineer, Infrastructure
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Infrastructure team at Stripe owns core components used by all product teams to build micro-services which support our business. This includes defining and driving the vision necessary to achieve best of breed scale and availability. Some of the technologies that we work with include Linux OS, Kubernetes, AWS EC2, and AWS networking components. We continuously invest in building new distributed services and scaling existing technologies while working with various teams to meet their current and future needs. Stripe’s infrastructure powers businesses all over the world. We process payments, run marketplaces, help entrepreneurs start an internet business from anywhere in the world, and more. The Compute organization is composed of teams that manage our OS components, cloud infrastructure, Linux servers, container orchestration, and deployments. As a Staff Engineer, you will play a key leadership role in enabling Stripe’s infrastructure to power all of our products, globally and at scale. Your solutions will allow our business to scale and achieve a best in class price/performance ratio. What you’ll do As a Staff Infrastructure Engineer in Compute, you will play a key leadership role in enabling Stripe’s infrastructure to power all of our products, globally and at scale. Your solutions will allow our business to scale and achieve a best in class price/performance ratio. You'll also work with engineers across the company to build new features at large-scale, while improving internal engineering standards, tooling, and processes. Responsibilities - Design, plan, build, and maintain container infrastructure used by all Stripe service teams - Lead technical conversations and decision making with other infrastructure and backend teams - Mentor and grow the next generation of technical leaders at Stripe - Participate in roadmap planning and prioritisation - Debug production issues across services and levels of the stack - Work on scaling, automation, reliability and observability of infrastructure services - Identify the shared compute needs across Stripe, understand their specific requirements and prioritise solutions Who you are We’re looking for someone with a strong background in networking cloud infrastructure who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - BS or MS in Computer Science or equivalent field - 15+ years of professional experience in a software development or devops automation role - Networking experience (development or system administration) over a number of years - Experience with Kubernetes - Experience leading projects on a cross-team or company-wide scale - A strong engineering background in distributed infrastructure services - Experience optimising the reliability and security of distributed systems - Experience with scaling and migrating systems with little to no downtime - Experience mentoring engineers at various stages in their careers - Experience using one of the major cloud providers - AWS/Azure/OCI/Google - Experience developing, maintaining and debugging distributed systems - Experience with ops culture and a deep understanding of metrics, alarms, and dashboards
Staff Technical Program Manager, Security + IT
Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Technical Program Managers operate within the Security and IT organization and have technical knowledge that enables them to manage company-wide programs, guide cross-team projects, and accelerate the execution of a team's roadmap. Security and IT are the teams responsible for protecting Discord's users, employees, and infrastructure - spanning security engineering, detection & response, corporate IT, and the governance, risk, and compliance (GRC) programs that keep Discord audit-ready and regulator-facing. This is a Staff TPM role, reporting to the Director of TPM, responsible for developing and driving security, IT, and compliance programs across a fast-moving, high-scrutiny environment. If you are a productive, first-principles thinker who develops strong relationships between partners, we'd encourage you to apply! What you'll do - Work closely with Security Engineering, IT, Legal, Privacy, and other cross-functional engineering teams to implement solutions supporting detection & response, identity & access management, and endpoint/device management - Manage multiple complex programs, often with competing timelines and resource needs across security, IT, and compliance stakeholders - Develop a holistic and enduring ownership model for our code, products, and programs - Leverage your strong compliance-centric mindset to help build and run our Security and IT programs. - Partner with Security, IT and GRC leadership to identify, develop, and run programs that mature our control environment (familiar with SOC 2, ISO 27001, NIST) while keeping pace with product velocity - Drive programs such as BYOD/MDM, identity & access (joiner/mover/leaver, privileged access, access reviews), and third-party/vendor risk management toward measurable, audit-ready outcomes - Partner with Security leadership to identify, develop, and run programs that improve the security of our users and company - Manage multiple complex projects, often with competing timelines and resource needs - Streamline our Security Incident Management processes, including severity classification and escalation What you have - 8+ years of Technical Program/Product Management experience working with fast-paced Security, IT, or Infrastructure engineering teams - Experienced with core Security programs (e.g., Vulnerability Management, Application Security Reviews, Security Incident Response) at a similarly-sized company - Experience working on programs related to security compliance frameworks (e.g., SOC 2, ISO 27001, NIST, PCI-DSS) at a similarly-sized company - Worked with Engineering, Trust and Safety, Legal, and Privacy leadership to implement compliance requirements or meet regulatory needs, especially related to data protection or information security - Experience moving technical or engineering programs from concept to completion and promoting the impact using metrics, risk reduction, and audit-readiness outcomes - Can break down complex challenges into workable components and make continuous progress towards solving a problem vs. trying to boil the ocean - Comfortable operating in rooms with executive leadership, including presenting risk posture and program status to C-suite audiences. Bonus points - A love for helping & empowering others - BA/BS in Computer Science, Engineering, or relevant technical experience - Security or compliance certifications (e.g., CISSP, CISM, CIPP, CISA) - Familiarity with security tooling ecosystems (SIEM, EDR, IAM platforms) - Experience programmatically supporting a detection & response or SOC function (24x7 coverage models, threat intel, incident postmortems) - Exposure to public-company readiness work - SOX/ICFR, segregation of duties, access reviews - or Internal Audit partnership - Strong customer-empathy that ensures your preferred solutions take into account both user trust/Safety and company needs The US base salary range for this full-time position is $248,000 to $279,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.
Machine Learning Engineer, API Multicloud
About the Team OpenAI’s API Multicloud team is responsible for extending OpenAI’s API platform into strategic cloud environments, starting with AWS . The team’s mission is to distribute OpenAI’s API broadly and safely by enabling key API technologies in AWS-native environments, in close partnership with Amazon and internal teams across Codex, Research, Safety Systems, and Applied. The team is focused on bringing core developer and enterprise capabilities into cloud-native environments, including AWS-hosted Codex, model customization / post-training as a service, and new stateful runtime environments for agentic workloads. This work sits at the intersection of production ML systems, developer platforms, model behavior, and large-scale infrastructure. About the Role We’re hiring Machine Learning Engineers to build and improve the AI systems that help strategic partners adapt OpenAI models to important use cases in cloud-native environments. This role spans post-training workflows, evaluation, data pipelines, model behavior, and API/infrastructure integration. You’ll work at the boundary between partner needs and core ML systems: helping teams understand what is and isn’t working, diagnosing issues in training and evaluation workflows, and turning those learnings into improvements to the underlying platform. You should enjoy working with external technical partners, extracting the real goal from messy requests, and pushing back or reframing when the requested experiment is not the highest-leverage path. You’ll collaborate closely with Research, Applied, Safety Systems, infrastructure teams, and external technical partners to solve ambiguous model-performance problems. When you succeed, strategic partners and internal teams will be able to improve model behavior with confidence, driving measurable product improvements while the systems behind that work become more reliable, scalable, and effective over time. In this role, you will - Partner with strategic customers and internal teams to define target model behaviors, diagnose failure modes, and translate real-world needs into training, evaluation, and system requirements. - Build and scale production ML systems for model customization, post-training, and fine-tuning-as-a-service workflows. - Design, run, and interpret experiments to see whether training and customization workflows are producing the intended outcomes, and identify changes to data, evaluation, training, or infrastructure that improve performance. - Partner with backend and infrastructure engineers to integrate ML capabilities into AWS-native API environments. - Feed learnings from partner deployments back into the platform by proposing and implementing improvements to post-training systems, tooling, APIs, and developer workflows. - Work closely with Research and Applied teams to bring model improvements, training workflows, and evaluation best practices into production. - Help design systems that allow strategic partners and enterprise customers to safely customize OpenAI models for high-value use cases. - Debug and improve complex systems spanning model behavior, training data, APIs, distributed infrastructure, and customer-facing product surfaces. - Operate with high ownership in a 0→1 environment where requirements are ambiguous, systems are evolving quickly, and reliability matters. Your background might look something like: - Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience. - 3+ years of professional engineering experience in relevant ML, infrastructure, or product-driven engineering roles. - Strong ML engineering experience building, training, fine-tuning, evaluating, or deploying production AI systems, with hands-on experience in deep learning, transformer models, and frameworks like PyTorch or TensorFlow. - Hands-on experience with training and fine-tuning large language models, including methods like supervised fine-tuning, distillation, preference optimization, reinforcement learning, or other post-training techniques. - Strong software engineering fundamentals, including data structures, algorithms, systems design, and high-quality production code in Python, Rust, or similar languages. - Experience with model customization, evaluation systems, data pipelines, distributed systems, cloud infrastructure, or production ML platform tradeoffs. - Ability to operate across model behavior, APIs, and infrastructure, while collaborating closely with Research, Safety, product engineering, infrastructure, and external technical partners. - Comfort moving quickly through ambiguity, owning problems end-to-end, and learning whatever is needed to get the job done. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
AI Infrastructure Engineer, Serving Platform
As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments. The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You’ll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company. You will: - Build and maintain fault-tolerant, high-performance systems for serving LLMs and other models at scale. - Build an internal platform to empower LLM capability discovery. - Collaborate with researchers and engineers to integrate and optimize models for production and research use cases. - Conduct architecture and design reviews to uphold best practices in system design and scalability. - Develop monitoring and observability solutions to ensure system health and performance. - Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment. Ideally you'd have: - 4+ years of experience building large-scale, high-performance backend systems. - Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++). - Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.) - Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc. - Experience with containers and orchestration tools (e.g., Docker, Kubernetes). - Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform). - Proven ability to solve complex problems and work independently in fast-moving environments. Nice to haves: - Experience with modern LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, or text-generation-inference. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providi
Infrastructure Engineer, Privy
Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. Learn more about Privy: Privy and Stripe: Bringing crypto to everyone About the team Engineering at Privy is distinguished by: - High urgency: Shipping very small iterations, very fast, to learn very quickly. - Product taste: Our customers are developers, and to build effective products for them requires technical knowledge - you will often be "the PM". - Security mindset: A great portion of our product is trust. While we have a dedicated security team, every engineer brings security to their designs from the start. In practice, we use boring technology like Node, React, and AWS so we can focus our engineering energy entirely on pushing the boundaries of Privy's core product, e.g. through hardware enclaves, multi-region low latency APIs, and blockchain abstractions that are accessible to mainstream developers. What you’ll do - Manage and architect multi-tenant infrastructure that serves billions of requests every month - Design our build and deploy systems across the stack, from SDKs to apps to high-traffic APIs to complex secure enclaves, and more – all for a team that ships daily - Drive observability across our product and help keep our systems up and performant in our role in the most critical parts of our customers' stacks - Advocate for making the right technical investments at the right time in a company with ever-evolving technical needs Who you are Minimum requirements - 8+ years of experience in building highly available production systems - Knowledge of Typescript or Python, Terraform or similar, Cloudflare, and AWS infrastructure - An understanding of modern web and API development best practices - Experience building delightfully simple developer experiences Preferred qualifications - An ability to quickly learn new skills and take on new challenges - Experience at rapidly growing startups and the flexibility it requires - Excitement about authentication, security, or in web3 - An understanding of EC2 Nitro Enclaves and ASGs/Kubernetes
Staff Infrastructure Engineer, Cluster Infrastruct...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities - Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning - Partner across teams to ensure new compute capacity is ingested on time - Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity - Collaborate with security owners to ensure clusters are provisioned secure-by-default - Define and drive strategy on cluster scalability, homogeneity and fault tolerance - Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy - Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health - Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications - Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) - Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. - Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems - Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications - 10+ years of software engineering experience, including time as a technical lead setting direction for a team - Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes) - Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like) - Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield) - Experience with cluster and host networking: CNI (Cilium), eBPF,
Member of Technical Staff (Backend/Infrastructure...
Perplexity is looking for an Infrastructure Engineer to own and improve the backend systems behind our latency-sensitive search stack. You’ll work across high-QPS Rust and Go services, distributed retrieval systems, cloud infrastructure, observability, and deployment tooling. This role combines infrastructure expertise with software engineering. You’ll take systems from design through production operation and use AI-native tools where they meaningfully improve engineering and operational workflows Responsibilities - Build and operate scalable, low-latency infrastructure for search serving and retrieval. - Design and improve distributed backend systems that handle high request volumes. - Debug and optimize Linux systems, containers, networking, and production services. - Improve reliability through observability, capacity planning, performance profiling, and incident response. - Design, deploy, and operate cloud-native systems, primarily on AWS and Kubernetes. - Build internal tools and automation for development, testing, debugging, and infrastructure operations. - Improve CI/CD pipelines, release processes, and production rollout safety. - Contribute directly to product codebases across Rust, Go, and other systems languages. - Own systems end to end, from architecture and implementation to deployment and production operation. Requirements - Strong experience with cloud infrastructure, distributed systems, and automation. - Deep understanding of Linux internals, performance analysis, and production debugging. - Experience building or operating latency-sensitive, high-throughput backend systems. - Experience with containers, orchestration, observability, and infrastructure as code. - Experience building or maintaining CI/CD systems and release tooling. - Fluency in at least one systems language, such as Rust, Go, C++, or Java. - Comfort working across infrastructure and application-level code. - Strong ownership and the ability to operate effectively in a fast-moving environment. Nice To Have - Experience with search, retrieval, ranking, or other large-scale data-serving systems. - Experience operating Rust services in production. - Experience with AWS, Kubernetes, and modern observability systems. - Experience with profiling, capacity planning, and performance optimization. - Experience building AI-assisted developer or operational tooling.
Pre-training Distributed Systems Tech Lead / Manag...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We're looking for an experienced tech lead to join our Evals Infrastructure team, building the systems that let us measure what our models can actually do. Evaluation is how we know whether a model is safe to ship — you'd own the infrastructure that makes those measurements fast, reliable, and trustworthy at scale. In this role you'll work at the intersection of inference, research and infrastructure engineering: managing the large scale distributed systems that orchestrate evals for our frontier models, building and scaling the harnesses researchers use to design and run evals, making results reproducible and interpretable, and ensuring eval signal is available where decisions get made. Your work directly shapes what we build and what we don't. Responsibilities - Lead the team building the distributed systems that schedule, orchestrate, and execute evals for our frontier model training - Own eval throughput and cost: compute allocation across suites, queueing against constrained accelerator pools, caching and reuse of eval work - Build and scale the harnesses researchers use to define, run, and iterate on evals - Make eval results trustworthy — determinism, reproducibility, and honest uncertainty quantification on reported metrics - Ensure eval signal reaches the dashboards and reviews where launch decisions actually get made - Contribute directly as an engineer while managing and growing the team, prioritizing its work, and coaching your reports You may be a good fit if you - Have led technical projects end-to-end on large-scale distributed systems, and have 1+ years managing engineers (or tech-lead-with-reports experience) - Are strong in Python and Rust - Have built high-throughput, fault-tolerant systems on cloud or on-prem accelerator fleets - Care about measurement quality, not just pipeline uptime — you'd notice if a metric moved for the wrong reason - Communicate well with researchers and can translate research needs into infrastructure - Are deeply interested in the transformative effects of advanced AI and committed to safe development Strong candidates may have - Worked on LLM inference or training infrastructure - Experience with eval or benchmarking systems, especially agentic evals requiring sandboxed execution - Working statistical literacy — variance, confidence intervals, sample-size sufficiency for noisy metrics - Experience with observability and regression detection over time-series metrics Sample Projects - Rebuilding the eval orchestration layer to cut wall-clock time on the pre-train eval suite - Designing compute allocation and scheduling so eval suites fit inside a fixed fraction of a prod
Staff+ Infrastructure Engineer, Cluster Infrastruc...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities - Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning - Partner across teams to ensure new compute capacity is ingested on time - Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity - Collaborate with security owners to ensure clusters are provisioned secure-by-default - Define and drive strategy on cluster scalability, homogeneity and fault tolerance - Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy - Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health - Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications - Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) - Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. - Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems - Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications - 10+ years of software engineering experience, including time as a technical lead setting direction for a team - Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes) - Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like) - Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield) - Experience with cluster and host networking: CNI (Cilium), eBPF,
Senior Staff Software Engineer, Identity Infrastru...
About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Identity Infrastructure Engineering team sits at the core of this effort, designing and building the identity and access management solutions that protect our model weights, customer data, and critical systems across multiple cloud environments. We partner with teams across OpenAI—Applied Engineering, Research, IT, and Security—to provide a secure and scalable platform for permissioning, orchestration, and innovative AI research. About the Role We’re looking for a Staff+ Software Engineer to help build and evolve the identity infrastructure that supports OpenAI’s research, engineering, and internal platforms. This role sits at the intersection of cloud infrastructure, identity systems, and software engineering. You’ll work across production systems, infrastructure-as-code, cloud control planes, identity providers, and operational infrastructure to build secure, scalable, and reliable systems used broadly across the company. The ideal candidate has experience building and operating large-scale, mission-critical systems with strong reliability and security requirements, and is comfortable writing production code, designing distributed systems, and driving ambiguous projects from 0 to 1 while building the operational rigor needed to run critical infrastructure over time. In this role, you will: - Lead the architecture, development, and operation of identity infrastructure that spans cloud platforms, internal systems, and critical engineering services. - Design and evolve systems for authentication, authorization, access governance, auditability, and policy enforcement with a strong focus on reliability, scalability, and secure-by-default design. - Build foundational infrastructure and platform capabilities that are broadly used across engineering, research, and security teams. - Improve the reliability, observability, performance, and operational maturity of identity infrastructure that supports mission-critical systems and workflows. - Lead ambiguous, high-impact technical initiatives across security, infrastructure, and engineering teams, driving alignment and execution across multiple stakeholders. - Partner closely with engineers, researchers, and security teams to build scalable access patterns and infrastructure that enable rapid development while maintaining strong security boundaries and operational rigor. - Raise the engineering bar through strong technical judgment, thoughtful system design, operational excellence, and long-term ownership of critical infrastructure. You might thrive in this role if you have: - 10+ years building and operating large-scale infrastructure, platform, or backend systems. - Deep experience with cloud infrastructure, identity systems, distributed systems, and infrastructure-as-code. - Experience leading complex technical initiatives across teams and driving architecture in ambiguous environments. - Experience building security-critical systems involving authentication, authorization, access governance, privileged access, or policy enforcement. - Strong software engineering fundamentals with experience in Go, Rust, Python, or similar languages. - Ability to debug across code, cloud infrastructure, identity systems, networking, and operations. - High bar for reliability, security, auditability, and operational rigor in mission-critical systems. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
AI Infrastructure Engineer, Sandbox Platform
As a Software Engineer on the AI Infrastructure team, you'll help build and evolve our agent sandboxing platform — the secure, high-performance code execution layer powering our agentic workflows, deployed across both internal and customer-managed environments. This is a role for someone who cares as much about the experience of the engineers and researchers using this system as they do about the kernel internals underneath it. You'll combine deep systems expertise (isolation, virtualisation, performance) with an obsession for developer experience: clean APIs, clear error messages, good docs, and a client library that feels well-crafted. You'll partner closely with internal teams to understand how they use the platform, debug their issues, and shape a roadmap that balances immediate needs with long-term architecture. You will: - Design and build the sandboxing platform, client library, and API surface for secure code execution across containerized and virtualized environments - Ensure strong isolation, security, and reproducibility of execution across user sessions and workloads - Optimise for cold-start latency, memory footprint, and resource utilisation at scale - Drive down error rates through systematic debugging, monitoring, and proactive fixes - Partner closely with internal teams using the platform to understand their needs, debug issues, and build tooling that serves their use cases - Respond to incidents and production issues with urgency, conducting root cause analysis and implementing preventive fixes - Help develop and maintain a product roadmap for sandboxing, balancing immediate needs against long-term architectural investment - Lead architecture reviews and own projects end-to-end, from design through deployment, in fast-paced cross-functional settings Ideally you'd have: - 4+ years of experience building high-performance systems software, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs - Deep understanding of Linux internals: process isolation, memory management, cgroups, namespaces, etc. - Experience with containerisation and virtualisation technologies (e.g., Docker, Firecracker, gVisor, QEMU, Kata Containers) - Proficiency in a systems programming language such as Go, Rust, or C/C++ - A track record of obsessing over developer experience — API design, error propagation, documentation, and the small details that make a library feel well-crafted - Comfort working across infrastructure layers, from kernel modules to orchestration frameworks (e.g., Kubernetes) - Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems - Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development Nice to haves: - Experience as a founder or early engineer at an infrastructure-focused startup, owning a product end-to-end - Familiarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP) - Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks) - Exposure to snapshotting and restore techniques (e.g., CRIU, VM snapshots, overlays) - Open-source contributions to systems or developer-tools projects - History of on-call/incident response for production systems PLEA
Software Engineer, Quality & Developer Tools | Con...
About the Team The Systems Integration team is responsible for building the infrastructure, tooling, and validation systems that ensure our device software is reliable, testable, and ready to ship. We design and maintain automated test frameworks, hardware-in-the-loop labs, and release pipelines that keep quality signals trustworthy and enable rapid, safe product launches. Our work spans developer tools, automation, systems integration, and cross-team collaboration to ensure every release meets the highest standards. About the Role As a Software Engineer, Quality and Developer Tools , you will build and own the systems that validate our device software—from test frameworks and regression infrastructure to hardware-in-the-loop labs and release gates. You’ll design the tooling and automation that keep quality signals trustworthy, integrate them into CI/CD, and make it easy for engineers and QA vendor technicians to execute reliable, repeatable workflows. We’re looking for engineers with deep experience in software quality, automation, developer tooling, and hardware-software integration who thrive on building scalable, reliable systems for validation and release readiness. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: - Test infrastructure & frameworks: Design, implement, and maintain a unified test framework for device software across unit, integration, system, and end-to-end testing, with reproducible runs and integrations with GitHub, Linear, and Slack. - CI/CD integration & releases: Integrate test suites with Buildkite, enforce promotion criteria for staging and production, auto-file regressions, and publish traceable artifacts and release notes. - Hardware-in-the-loop lab design & orchestration: Plan and bring up racks, power and networking systems, and orchestration for device testing; support automated flashing, provisioning, and telemetry capture. - Automation and developer tooling: Develop tools for API and firmware validation, result triage, log capture, replayable bug reports, and workflows that improve engineering velocity and debugging efficiency. - Quality signals, metrics, and flake control: Build dashboards and alerts for pass rates, stability, and release readiness; detect and quarantine flaky tests; drive root-cause analysis with owners; and track delivery metrics that protect release health. - Vendor enablement: Create clear procedures and tooling that allow QA vendor technicians to execute repeatable processes, review their reports, and maintain a queue of rig maintenance and repairs. - Cross-team collaboration: Partner with embedded and systems software teams on testability, and with release infrastructure engineers on pipelines, signing, staged rollouts, and rollback/forward strategies. You might thrive in this role if you: - Have deep experience building software quality, test automation, or developer tooling systems for hardware products shipped at scale. - Are proficient in Python, C, C++, or Rust, and have strong Linux fundamentals, including processes, networking, storage, and udev/systemd. - Have experience building CI/CD pipelines, artifact management systems, and reproducible or isolated test environments. - Have demonstrated success designing and operating hardware-in-the-loop labs and device orchestration systems at scale. - Are fluent with test reliability techniques such as failure triage, flake detection and quarantine, and signal-quality guardrails. - Have strong debugging skills across software, firmware, devices, and release infrastructure. - Work well across teams and enjoy improving the systems that make engineering and release processes more scalable and reliable. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Model Deployment- ChatGPT Engin...
About the Team ChatGPT relies on a large and growing GPU fleet to serve inference workloads reliably and efficiently. We develop the systems and tools that make it possible to introduce new models, manage production deployments, respond to operational issues, and use infrastructure effectively at scale. Our work spans distributed systems, platform engineering, infrastructure automation, and developer experience. We partner closely with research, infrastructure, and product teams to make model deployment more reliable, more efficient, and easier to manage. About the Role We are looking for a software engineer with experience building or operating large-scale production systems. You will design and develop systems that support the model lifecycle in production, including deployment orchestration, configuration management, operational automation, reliability, and capacity management. You will help transform complex operational processes into scalable platform capabilities that enable teams across OpenAI to deploy and manage models with greater confidence and less manual effort. This role is a good fit for engineers who enjoy solving complex operational problems and building software that makes production infrastructure easier to run at scale. In This Role, You Will - Build and evolve the platform used to deploy, configure, and manage models across ChatGPT. - Develop systems for deployment orchestration, model rollouts, operational visibility, and production readiness. - Create abstractions and tooling that simplify complex infrastructure and improve the developer experience. - Automate operational workflows, including incident detection, diagnosis, mitigation, and recovery. - Improve the reliability, scalability, and efficiency of model deployments and the infrastructure that supports them. - Build systems that support capacity planning, resource allocation, and infrastructure utilization. - Partner with research, infrastructure, and product engineering teams to identify common challenges and deliver reusable platform capabilities. - Shape the technical direction of the model management platform as ChatGPT and its underlying systems continue to evolve. You Might Thrive in This Role If You - Have built or operated internal platforms, distributed systems, or large-scale production infrastructure. - Enjoy turning complex operational problems into reliable software and reusable abstractions. - Have experience with deployment systems, orchestration, configuration management, or infrastructure automation. - Understand production reliability, observability, capacity planning, and incident response. - Care about developer experience and building tools that make other engineering teams more effective. - Are comfortable working across organizational boundaries and taking ownership from system design through production operation. - Thrive in fast-moving environments with significant technical ambiguity. - Are interested in model-serving or ML infrastructure, but do not need specialized experience with GPUs or low-level hardware. Qualifications - Five or more years of software engineering experience building production infrastructure. - Strong programming skills in Go, Python, C++, Rust, or a comparable language. - Experience designing or operating highly available distributed systems. - Experience with platform engineering, infrastructure engineering, production engineering, site reliability engineering, or similar disciplines. - Strong systems design, debugging, and operational problem-solving skills. - Strong communication skills and experience collaborating across engineering teams. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Codex Core Agents
About the Team The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users. That means working across the systems that make Codex actually function as an agent in the real world: the production performance envelope around tokens, latency, reliability, cost, and capacity; the core execution loop and interfaces that turn models into useful behavior; the shared infrastructure that enables other teams to build on Codex; and the feedback loops that turn real-world usage into better models and better agent behavior over time. About the Role We’re looking for engineers to build the infrastructure that powers Codex agents in production. This role focuses on the systems that let models safely execute code, interact with tools, complete long-running tasks, and operate reliably and efficiently at scale. You’ll design and operate the infrastructure behind sandboxed execution, orchestration, stateful workflows, app-server and SDK boundaries, and model rollouts. You’ll work at the intersection of distributed systems, developer tooling, and AI, building primitives that make Codex faster, safer, more reliable, and easier for the rest of the organization to build on. What You’ll Do - Design and build execution environments for AI agents, including sandboxing, isolation, and reproducibility. - Develop systems for agent orchestration across multi-step, tool-using workflows. - Build infrastructure for running, testing, and debugging code generated by models. - Create state and memory systems that allow agents to persist context across long-running tasks. - Optimize tokens, latency, reliability, and cost across Codex’s production fleet. - Support model rollouts, capacity planning, and the core tradeoffs between quality, speed, and economics to manage a fleet of frontier agents at scale. - Build shared platform capabilities that unblock product teams, partner teams, and open source Codex. You Might Be a Good Fit If You - Have strong experience in distributed systems or infrastructure engineering. - Have built systems involving containers, sandboxing, or virtualization. - Are comfortable working across backend systems, APIs, and developer tooling. - Care deeply about system reliability, performance, and security. - Enjoy working on ambiguous, zero-to-one problems. - Want to help build the systems that turn model capability into a dependable software engineering agent. Bonus Points - Experience with code execution platforms, CI/CD systems, or build systems. - Experience coding in Rust - Familiarity with LLMs, agents, or tool-use frameworks. - Background in security engineering or isolation systems. - Experience building developer platforms, IDE tooling, or open source infrastructure. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Supply Chain Program Manager
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About the Department The Infrastructure Engineering team builds and scales Cloudflare’s global network, ensuring high availability, security, and performance across hundreds of cities worldwide. Within Infrastructure Engineering, the Hardware Integration Operations team acts as the critical bridge connecting our global manufacturing partners, procurement teams, and capacity strategy. We manage the end-to-end flow of server and network hardware into fully integrated data center racks to support our growing global network. By working closely with external manufacturing partners and cross-functional teams, we ensure the infrastructure powering the internet is built, tested, and deployed efficiently, securely, and resiliently. About the Role As a Senior Supply Chain Program Manager, you will own the integrated supply-planning interface connecting capacity demand, L10 hardware supply, and L11 rack integration. In this senior individual contributor role, you will coordinate the transition of servers and network equipment from server-level manufacturing (L10) into complete rack integration (L11), providing global partners with the material readiness, capacity planning, and operational visibility needed to execute Cloudflare’s global expansion. What You’ll Do - Drive Strategic Supply Planning: Connect capacity requirements with L10 hardware availability and L11 rack manufacturing schedules to maintain scalable supply plans across global regions. - Manage Material & Production Readiness: Oversee weekly supply allocation reporting, shortage reviews, and material-readiness assessments for upcoming rack integration builds. - Guide Operational Tradeoffs: Identify supply constraints and present actionable allocation options to Capacity Planning, evaluating tradeoffs between direct hardware shipping and complete rack integration. - Translate Long-Term Strategy: Convert quarterly and annual capacity forecasts into actionable operational requirements for L11 integration partners. - Monitor Program Financials & Progress: Track CapEx commitments against rack integration and deployment plans, giving leadership visibility into utilization, execution progress, and delivery risks. - Lead Supplier Relationships: Partner with global L11 integration providers through regular business reviews covering capacity, delivery, cost, quality, and performance. - Expand Resilient Manufacturing: Evaluate and recommend new L11 suppliers and build locations to strengthen geographic resiliency, capacity growth, and technical standards. - Support Commercial Operations: Validate supplier requisitions, purchase orders, and commercial agreements while supporting leadership approval workflows. - Partner on Global Supply Risk Mitigation: Collaborate with Capacity Planning, Procurement, and Hardware Sourcing to identify and mitigate rack integration risks involving capacity bottlenecks, logistics hurdles, tariffs, and regional concentration. - Partner on New Product Introductions (NPI): Collaborate with Hardware Engineering and rack integration teams to translate evolving hardware designs into operational preproduction and build readiness plans. - Support Supplier Quality: Analyze supplier-performance trends, coordinate escalations, and track cross-functional quality and engineering issues through resolution. - Operationalize ERP Workflows: Support adoption and stabilization of the team’s Oracle ERP processes, then identify improvements to planning, reporting, controls, and operational efficiency. - Deliver Executive Insights: Create clear forecasts, operational reporting, and risk assessments for leadership review. - Scale the Operating Model: Establish sustainable operational frameworks that expand production capacity while maximizing efficiency. Required Qualifications - Broad professional experience in global supply chain management, production planning, manufacturing operations, or a related field. - Proven track record coordinating supply and production programs across multi-site manufacturing environments and international regions. - Demonstrated skill in connecting demand forecasts, material readiness, supplier capacity, and manufacturing schedules. - Experience independently leading complex, cross-functional programs across engineering, procurement, finance, and external vendors. - Strong analytical skills with expertise in supply modeling, risk assessment, and operational reporting. - Demonstrated capability to manage supplier performance and lead business reviews at both operational and executive levels. - Strong written and verbal communication skills, with experience presenting strategic options and risks to leadership. - Ability to collaborate effectively across global time zones. Desirable / Preferred Qualifications - Experience with contract manufacturing (CM), original design manufacturers (ODM), or systems integrators for data center, server, or network hardware. - Experience managing, optimizing, or stabilizing supply chain processes within an enterprise ERP platform (preferably Oracle). - Experience evaluating manufacturing partners, leading supplier assessments, or managing RFP processes. - Background in supporting commercial negotiations, procurement agreements, and supplier capacity commitments. - Familiarity with hardware new product introduction (NPI) and manufacturing transition processes. - Knowledge of global supply risk management, including tariff mitigation, logistics planning, and regional diversification. - Experience using performance scorecards and operational metrics to drive supplier accountability. - Willingness to travel occasionally for supplier site visits and operational reviews. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Rack Integration Operations Engineer
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About the Department The Infrastructure Engineering team builds and scales Cloudflare’s global network, ensuring high availability, security, and performance across hundreds of cities worldwide. Within Infrastructure Operations, the Hardware Integration group acts as the bridge between engineering designs and physical deployment, overseeing key third-party manufacturing partnerships, hardware quality, and supply chain logistics to keep our expanding footprint running seamlessly. Role Summary As a Rack Integration Operations Engineer , you will serve as a technical quality gatekeeper and operational partner across Cloudflare's hardware build programs. Working collaboratively within the Infrastructure Engineering and Strategy teams, you will bridge the gap between engineering specifications and external contract manufacturing partners. In this role, you will ensure Bill of Materials (BOM) accuracy, optimize materials planning, track partner performance, and actively modernise internal operations by building light, AI-enabled automations to streamline repetitive workflows. Key Responsibilities Engineering & Quality Review - Ensure BOM Accuracy: Review and validate complex BOMs prior to release to integration partners, proactively identifying part substitutions, spec mismatches, and potential build blockers. - Bridge Engineering & Production: Partner closely with hardware design engineers to resolve design change requests (DCRs) and BOM discrepancies throughout the build lifecycle. - Maintain Technical Quality Standards: Leverage functional expertise across rack-level power, networking, server, and firmware architectures to evaluate build compliance against Cloudflare specifications. Materials & Logistics Operations - Support Materials Planning: Contribute to demand forecasting and materials planning for rack build programs, aligning partner capacity with component lead times. - Coordinate Supply Chain Logistics: Oversee inbound and outbound logistics for components and finished racks between partners and Cloudflare sites through to final shipment. Partner & Program Management - Drive Partner Execution: Serve as an operational point of contact for external hardware integration partners regarding build progress, scheduling, and issue resolution. - Track SLAs & Quality Metrics: Contribute to vendor scorecards and KPI tracking across build quality, on-time delivery, and cost efficiency; lead root-cause analyses for recurring defects. - Maintain Program Visibility: Track hardware build cycles in Jira, leading documentation, status check-ins, and project closeouts alongside cross-functional teammates. AI Innovation & Process Automation - Automate Operational Workflows: Identify manual, repetitive tasks across BOM reviews, reporting, and partner tracking, using AI tools and LLM prompt engineering to streamline processes. - Analyze Performance Data: Evaluate spend, build timelines, and quality trends using AI-assisted analysis tools to surface actionable operational insights. - Build Shared Tooling: Develop, document, and maintain sustainable, lightweight automation scripts and workflows for adoption across the broader team. Qualifications Requirements - Vendor & Manufacturing Experience: Professional background managing hardware vendor or contract manufacturing (EMS/ODM) relationships, including BOM validation, quality tracking, and schedule management. - Hardware & BOM Proficiency: Practical ability to evaluate rack-level technical specifications (power distribution, networking, server hardware, firmware) to ensure manufacturing compliance. - Program Management Discipline: Hands-on experience managing operational workflows in Jira, with a track record of tracking and reporting on team KPIs and SLAs. - Applied AI & Automation Skills: Practical experience using AI tools or LLMs to automate concrete workflows, optimize reporting, or perform data analysis. - Cross-Functional Collaboration: Strong written and verbal communication skills, with a track record of working effectively across engineering, procurement, supply chain, and external partner teams. Desirable / Bonus Qualifications - Background in data center infrastructure hardware (servers, network switches, rPDUs, enterprise cabling). - Experience writing lightweight scripts (Python, Google Apps Script, or similar) paired with AI developer tools. - Familiarity with global hardware supply chain and logistics operations. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Member of Technical Staff (Software Engineer, Infr...
ABOUT THE ROLE The Infrastructure team builds and operates the foundational systems behind Perplexity’s products. At Perplexity, infrastructure sits on the critical path of every answer, supporting real-time search, retrieval, model serving, and agent workloads where latency, reliability, and rapid iteration directly shape the user experience. This role is for strong infrastructure engineers whose experience spans multiple domains and who are energized by cross-cutting problems that do not fit neatly within a single platform team. You do not need to be a specialist in every area. Scope ranges from owning major production systems to setting technical direction across teams, leading complex infrastructure programs, and shaping infrastructure strategy across the organization. If a specialized Cloud Infrastructure, Storage Platform, Backend Platform, Data Platform, Connector Platform, or AI Acceleration role clearly matches your expertise and interests, apply directly to it. If your experience spans several infrastructure domains or you are most energized by cross-cutting systems problems, apply here. Submit one application, and we will consider you across the Infrastructure organization. KEY RESPONSIBILITIES - Own cross-cutting infrastructure problems that span compute, storage, networking, data, deployment, and reliability, including eliminating bottlenecks across retrieval and serving paths, building shared abstractions across deployment environments, and resolving failure modes that cross platform boundaries. - Design, build, and operate distributed infrastructure supporting Perplexity’s consumer, AI, and enterprise workloads, owning systems from architecture through production operation. - Identify gaps between existing platforms and build shared abstractions, automation, and tooling that make infrastructure easier and safer to use. - Improve system performance, availability, scalability, and cost-efficiency across online request traffic and background workloads. - Debug complex production issues across service and infrastructure boundaries, then turn the findings into durable architectural improvements. - Set technical direction for complex infrastructure systems, lead high-impact programs across teams, and establish durable technical standards through collaboration with infrastructure, product, AI, and security partners. QUALIFICATIONS - 4+ years of professional software engineering experience building and operating production backend, platform, or distributed systems. - A track record of owning complex production systems end to end and delivering sustained technical impact across teams. - Demonstrated ability to set technical direction, lead through influence, and raise the engineering bar through architecture, design reviews, and mentorship. - Strong software engineering skills in Python or other systems or backend languages such as Go, Rust, C++, or Java. - Meaningful experience across at least two infrastructure domains, such as cloud platforms, distributed systems, Kubernetes, storage, databases, networking, data systems, developer infrastructure, or production reliability. - Ability to develop depth quickly in unfamiliar systems, reason across software and infrastructure layers, and drive production incidents from diagnosis through durable resolution. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
Data Infrastructure Engineer, Pre-training
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Staff level Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Responsibilities - Design and implement data processing infrastructure for large language model training (highly performant, reproducible, traceable) - Develop and maintain core processing primitives (e.g., tokenization, deduplication, chunking) with a focus on scalability - Build robust systems for data quality assurance and validation at scale - Collaborate with research teams to implement novel data processing architectures - Build and operate end-to-end data pipelines that turn raw web-scale corpora into training-ready datasets You may be a good fit if you have: - 5+ YOE outside of internships - Strong software engineering skills with experience building high-throughput fault-tolerant distributed systems - Hands-on experience with distributed computing frameworks, particularly Apache Spark - Excellent problem-solving skills and attention to detail - Strong communication skills and ability to work in a collaborative environment - Advanced degree in Computer Science or related field - Experience with language model training infrastructure - Background in Data Infrastructure, MLOps, or ML infrastructure Strong candidates may have: - Have significant experience building high-throughput fault-tolerant distributed systems - Expertise with Python and Rust - Passionate about system reliability and performance - Are comfortable working with ambiguous requirements and evolving specifications - Take ownership of problems and drive solutions independently - Are excited about contributing to the development of safe and ethical AI systems - Can balance technical excellence with practical delivery - Are eager to learn about machine learning research and its infrastructure requirements Sample Projects - Designing and implementing distributed computing architecture for web-scale data processing - Building scalable infrastructure for model training data preparation - Developing fault-tolerant distributed processing systems - Implementing new infrastructure components based on research requirements The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 - $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Software Engineer, API Safety
About the Team OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. The API Platform turns frontier research into reliable capabilities that developers use to build transformative products and services for people around the world. API Safety's goal is to ensure safe deployment of frontier models in the API. We design APIs and systems that help developers share usage context, understand safety events, and apply safeguards tailored to the risk profile of the applications they are building. This work is critical to our frontier model launches and partners closely with teams across API, Integrity, and Safety Research. About the Role We're looking for product-minded software engineers to join a team that is addressing emerging risks at the frontier of model development while building novel solutions for real-world AI deployment. The day-to-day work ranges from solving production challenges to designing new product experiences and safeguards. The right candidate is comfortable balancing tradeoffs across developer experience, latency, reliability, and risk. In this role, you will: - Design and build dashboards and APIs for safety controls and customer-facing observability. - Develop scalable systems that extend trusted safety capabilities to new use cases, customers, and deployment environments. - Partner with Safety Research and Integrity to build safeguards that mitigate emerging risks. - Be responsible for the availability, latency, and scalability of safeguards across high-volume API traffic. - Own projects from technical design and implementation through launch and ongoing iteration, while raising the team’s engineering standards Your background might look something like: - 7+ years of professional experience, excluding internships, in backend, infrastructure, platform, or product engineering roles. - A track record of designing, building, and operating production backend services, developer-facing APIs, or distributed systems. - Strong software engineering and systems fundamentals, with experience leading technically complex projects from ambiguous ideas to production. - Proficiency in one or more general-purpose backend languages, such as Python, Go, Rust, or TypeScript. - Experience building reliable, scalable systems and reasoning about distributed architecture, concurrency, latency, observability, and operational tradeoffs. - Product judgment and developer empathy, including an ability to turn complex model or infrastructure capabilities into clear, intuitive APIs. - Clear communication and a collaborative approach to working with researchers, product managers, designers, infrastructure engineers, and customers. - Experience with observability, abuse prevention, trust and safety, identity, security, privacy, compliance, or risk systems is a strong plus. - Interest in helping frontier AI reach more developers and businesses responsibly. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Engine Programmer, Unreal Cloud Services
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ENGINEERING - UNREAL ENGINE What We Do Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of engineering experts are always innovating to improve the tools and technology that empower content developers worldwide. What You'll Do Join Unreal Cloud Services, the team behind Lore (Epic's next-generation, open-source version control system built for the future of game development). You'll work at the boundary between editor and cloud, making distributed workflows, collaboration, and version control feel like a natural part of the creator experience. As Unreal evolves toward UE6, you'll help bring these capabilities together into a cohesive editor experience. In this role, you will - Build Unreal Editor features that bring cloud-based collaboration into everyday creator workflows - Implement responsive editor experiences that interact with asynchronous and distributed servi - Work across editor, networking, storage, revision control, and UX systems to make cloud-backed workflows feel natural to Unreal Engi - Partner with Product and UX teams to turn product ideas into clear, practical, and polished editor experiences - Collaborate with backend and infrastructure engineers on features that span the editor and cloud services - Use modern development practices, including AI-assisted programming, to improve implementation, debugging, and iteration What we're looking for - Strong C++ skills and experience working in a large native codebase - Experience building user-facing tools, editor features, and complex interactive workflows - Experience building clients that interact with asynchronous or networked services - Strong understanding of parallelism, networking, latency, and failure handling - Strong eye for user experience and how technical behavior affects creator workflows - Experience working closely with Product, UX, and engineering teams to ship features - Experience with Unreal Engine, another game engine, or comparable tools development - Experience with Rust is a plus EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .
Infrastructure Engineer, Database
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the team SmithDB is LangChain's internal database team. We're building a storage and query layer purpose-built for AI observability and evaluation. Within six months we went from idea to a production system that offers industry leading performance and scalability for agent observability data. We're a small, fast team of systems engineers tackling genuinely hard problems: storage layout, query execution, compaction, and scaling toward trillions of agent traces. We develop in Rust, run on Kubernetes, and integrate tightly with S3/GCS/Azure Blob. There are no legacy constraints; this is a greenfield system with real production load and ambitious engineering goals. About the role We're building a database specifically designed for AI observability and evaluation, and we need someone to own the infrastructure layer that keeps it running reliably at scale. As a Database Infra Engineer on the SmithDB team, you won't be designing the storage engine — you'll be making sure the engine never goes down, scales seamlessly as our customer base grows, and is operationally excellent across cloud environments. What you'll do - Own the deployment and operations of SmithDB across cloud environments — including cluster lifecycle management, blue/green and rolling upgrades, and automated failover - Build and maintain the infrastructure tooling (Terraform, Kubernetes, Helm, or equivalent) that provisions, configures, and scales SmithDB nodes - Own the Kubernetes infrastructure that runs our distributed database services (multi-tenant, high throughput, low latency) - Build and improve deployment pipelines, rollout strategies, and infrastructure-as-code for the storage layer - Drive reliability engineering efforts: incident response, postmortems, SLOs, and disaster recovery for a system operating at massive scale - Manage capacity planning and cost efficiency — model growth, rightsize resources, and ensure SmithDB can absorb traffic spikes from our largest customers without manual intervention - Build the CI/CD pipeline for database infrastructure changes — safe, tested, and fast promotion from dev through staging to production - Collaborate closely with SmithDB internals engineers to translate new engine features into production-ready infrastructure changes and ensure safe, low-risk rollouts What you'll bring - 5+ years of experience in infrastructure, platform engineering, or SRE with hands-on - Strong hands-on experience with Kubernetes and cloud infrastructure (AWS/GCP/Azure) - Solid scripting/systems programming ability (Go, Python, or similar); - Experience with infrastructure-as-code and CI/CD tooling (Terraform, Helm, ArgoCD, or similar) - Deep familiarity with at least one major cloud provider (AWS, GCP, or Azure) and the primitives used to run stateful workloads reliably — persistent volumes, managed node groups, cloud storage, etc. - Infrastructure-as-code fluency — you write Terraform (or Pulumi/CDK) as your primary language, not an afterthought - Strong operational instincts — you've been on-call for high-traffic data systems, you know how to triage under pressure, and you write runbooks that actually get used - Experience with container orchestration (Kubernetes) and deploying stateful workloads in production - A bias for automation — if you've done something manual twice, you're already thinking about how to make it never happen again - Strong written and oral communication skills, with the ability to translate infrastructure health into language product and business stakeholders understand - The DNA to thrive in a fast-moving, high-autonomy environment — you see gaps as opportunities and own them end to end Nice to Have - Ownership of production database systems (Postgres, ClickHouse, Redis, or similar) - Comfort reading and reasoning about Rust is a plus, as it's the language our database is written in - Understanding of database reliability concepts — replication, backups, point-in-time recovery, connection pooling, and graceful degradation under load Compensation Salary Range: $180,000-$230,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Payments Analyst
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies from the world's largest enterprises to the most ambitious startups use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team As Stripe's user base and global footprint grows dramatically, we face uniquely complex operational challenges at the intersection of payments infrastructure, financial data integrity, and global scale. The Stripe Delivery Center (SDC) provides operational leverage across Stripe's portfolio supporting external users and internal teams with precision and speed. What you’ll do As a Technical Operations Analyst on the Payments team, you will own the reliability and accuracy of some of the world's most critical payment flows, a platform processing hundreds of billions of dollars annually. You will sit at the intersection of engineering, finance, and operations: triaging live payment failures, driving reconciliation accuracy, and partnering with financial institutions globally to resolve issues fast. This is not a passive monitoring role. You will be expected to independently own investigations end-to-end, identify systemic issues before they escalate, and drive process improvements that scale with Stripe's growth. Responsibilities - Own reconciliation and payments-related investigations, ensuring accurate ledgering of funds and resolving discrepancies with banking partners swiftly and precisely. - Proactively monitor payment performance across users and payment methods; triage degradation alerts, diagnose root causes, and communicate findings clearly to technical and non-technical stakeholders. - Serve as the escalation point for complex support inquiries from Technical Account Managers, Product Support, and internal Stripe teams providing fast, well-reasoned resolutions. - Interface directly with Stripe's global financial partners (card networks, banks, payment processors) to manage operational incidents and drive resolution. - Validate the accuracy of Stripe's financial data through rigorous analysis and cross-functional collaboration with finance and infrastructure engineering teams. - Identify process inefficiencies and lead automation initiatives to reduce manual workload and improve operational throughput at scale. - Build and maintain high-quality SOPs, runbooks, and process documentation to ensure institutional knowledge is captured and transferable. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - 3-7 years of experience in a technical operations, payments operations, or financial technology role. - Advanced SQL proficiency - you write complex queries (joins, window functions, aggregations) independently and use them as a primary tool for investigation and root cause analysis. - Deep understanding of end-to-end payment flows - including authorization, clearing, settlement, reconciliation, and exception handling across multiple payment methods and geographies. - Demonstrated experience investigating and resolving high-severity operational incidents in a payments or financial systems environment with minimal oversight. - Strong experience working with large-scale financial datasets - validating accuracy, identifying anomalies, and reconciling discrepancies across systems. - Proven ability to manage complex, cross-functional workflows - coordinating simultaneously with engineering, finance, banking partners, and business teams. - Track record of identifying process gaps and driving automation or efficiency improvements that meaningfully reduced manual workload. - Experience writing and maintaining SOPs, runbooks, and technical documentation to a high standard. - Excellent written and verbal communication in English - able to translate complex technical issues into clear, concise updates for both technical and non-technical audiences. - Comfortable operating with high autonomy in a fast-paced environment, managing competing priorities and time-sensitive deadlines without close supervision. Preferred qualifications - Hands-on experience working directly with card networks, acquiring banks, or payment processors, including managing operational escalations and SLA-driven communications. - Experience with payment cost optimization - Deep understanding of end-to-end payment flows - including authorization, clearing, settlement, reconciliation, and exception handling across multiple payment methods and geographies. - Familiarity with accounting and financial reconciliation principles - Prior experience in a high-growth fintech or global payments company operating at significant transaction scale. - Experience building or improving monitoring and alerting frameworks for payment systems. - Practical history of developing AI-driven solutions designed to automate and optimize high-volume operational workflows.
Network Deployment Engineer - APJC
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Singapore About the Team In this role, you will be focused on the build out and expansion of our global network. You'll work closely with Cloudflare’s Network Infrastructure planning team, Network Engineering team, Infrastructure automation team, Site Reliability Engineering (SRE) team, Project Managers and with various vendors and partners (including hardware vendors, logistics, datacenter and network providers, and ISPs) to plan and aggressively execute the expansion of our network. You will further be responsible for the development and implementation of consistent processes and tools for consistent and effective management of our infrastructure. This is a highly visible position that requires deep technical understanding of datacenter infrastructure, physical and logical network configuration, system administration, server provisioning and troubleshooting, and basic experience with data analysis and project management. To be successful in this position, you should have excellent technical skills, communication skills, and be able to navigate a range of challenges and constraints (e.g. schedule adherence, time zones, and cultures). You will have the opportunity to (literally) build a faster, safer Internet for our millions of users and the billions of web surfers that visit their sites each month. Key responsibilities - Provisioning, monitoring and maintaining hardware, software, and network in new Cloudflare data centers. - Perform server administration tasks remotely using IPMI/BMC tools, including server provisioning, monitoring, troubleshooting and firmware updates. - Perform network configuration tasks to network devices in greenfield deployment and brownfield migration activities. - Managing remote contractors to complete datacenter installations and upgrades (rack and stack), including coordinating with hardware manufacturers, datacenter and network providers, logistics partners and other service providers in support of our 700+ growing datacenter locations. - Build automation to eliminate repetitive work using Python scripts, and Changie. Our team actively develops agentic AI tools to reduce admin overhead and handling other toil. - Planning and implementing network and server installations, including in the areas of facility power (AC/DC), cooling, security/access, rack layout and cable management. - Providing technical leadership and guidance to remote contractors and junior team members during deployment activities—walking them through configurations, troubleshooting steps, and quality checks. - Creating and maintaining documentation, plans, SOPs, MOPs and runbooks. - Collaborating with internal teams (Infrastructure Engineering and Planning, Network Engineering and SRE) on day-to-day operations and project planning. - Coordinating installation of cross-connects globally in support of physical network expansion. - Assisting with the definition, documentation and implementation of consistent processes and standardization across all regions. - Limited travel. Required Experience - Minimum of 5 years of prior relevant experience in Data Center Operations, Site Reliability Engineering, Linux Systems Administration, Network Engineering, and/or DevOps experience. - Familiarity with day-to-day tasks and projects common in Data Center Operations. - Experience with optical transport technologies such as CWDM/DWDM. - Configuration management tool experience like Saltstack, Chef, Puppet or Ansible. - Knowledge and exposure to Network Protocols, Topologies and Enterprise architecture. - Experience writing network configuration and design documentation. - Experience with network and server installation, configuration, and troubleshooting. - Experience with remote "lights-out" and out-of-band access to data center resources (IPMI/BMC for remote server administration). - Experience solving problems through automation, writing Python or Bash scripts for internal tools and workflow improvements. - Experience running and improving operational processes in a rapidly changing environment. - Strong verbal and written communication skills, problem-solving skills, and attention to detail. Must be proactive in performing due diligence, e.g. checking for blockers before executing work, spotting patterns in failures or process improvements. - Experience building or working with agentic AI tools for workflow automation Examples of desirable skills, knowledge and experience - Bachelor’s degree in Computer Science, Engineering, MIS, or a related field is a plus. - Direct experience executing on datacenter / infrastructure projects with many moving parts. - Experience installing / maintaining datacenter (and other IT) infrastructure and DCIM tools. - Experience running and improving operational processes in a rapidly changing environment. - Understanding of BGP and anycast routing. - Good working knowledge of major networking and optical device OS such as Juniper Junos, Cisco IOS, Cisco NX-OS, Arista EOS, SONiC, Ciena, Nokia (Infinera). - Proficient in one or more programming languages and willing to learn new ones when required. - Ability to write scripts for internal tools and automation workflows. - Ability to learn fast and execute on multiple tasks simultaneously while maintaining quality. - Ability to manage MS Excel and Google Spreadsheets. - Comfortable handling basic program management responsibilities (prioritization, planning, scheduling, status reporting) using tools like JIRA. - Experience managing remote contractors - Strong team player who collaborates across functions (planning, network engineering, SRE, vendors). Bonus Points - Professional level network certification(s) (JNCIP, CCNP, etc) or higher. - Linux certifications. - Experience with continuous / rapid deployment. - Experience working in a 24/7/365 mission-critical service environment (on-call rotation required) - Knowledge of the OSI-model and experience isolating network, hardware and software issues. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Staff Engineer, Core Infrastructure
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world's largest enterprises to the most ambitious startups — use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the Organization The Core Infrastructure organization operates the foundational systems that power Stripe globally — including databases (MongoDB, PostgreSQL), high availability and disaster recovery (HADR), AWS cloud infrastructure, Linux servers, container orchestration, mesh networking, service discovery, and network edge infrastructure. Within Core Infra, the Regional Enablement Platform (REP) team helps Stripe launch and operate new regions without learning about broken dependencies from users. REP builds the regionalization, validation, deploy-safety, and operator tooling needed to answer practical launch-readiness questions: can critical payment paths run from the new region, which services still depend on a remote control plane, what breaks under packet loss or failover, and what must be fixed before deploys, launches, traffic shifts, or failovers proceed. The team uses traffic replay, synthetics, failover drills, dependency analysis, CI/CD gates, and incident data to turn those findings into platform fixes, service-owner asks, and reusable readiness checks across networking, HADR, and service teams. This role is based in Bangalore and serves as a senior technical anchor for Core Infrastructure in India, with direct cross-region influence across AMER, EU, and APAC. What you'll do As a Staff Engineer on REP, you will play a key leadership role in enabling Stripe's infrastructure to power all of our products, globally and at scale. You will decide how Stripe validates that a new region can safely take traffic and continue working through network loss, failover, and deploy changes. You will define the checks that must pass before launch or failover, build validation systems that replay real production paths against regional infrastructure, and turn those checks into CI/CD gates, operator workflows, and concrete fixes for service or platform owners. You will also help build Core Infrastructure's senior technical bench in Bangalore through design review, mentoring, and cross-region technical leadership. Responsibilities - Define evidence-based readiness criteria for regional launches, traffic migrations, and failovers — replacing manual checklists with repeatable, globally consistent patterns - Proactively identify and mitigate risks on critical payment paths; use system data to drive ownership and validate that platform mitigations measurably reduce impact - Lead end-to-end cross-functional delivery for new-region infrastructure, including safe service behaviors for remote control planes - Build reusable validation tooling that accelerates infrastructure integration for new acquisitions and reduces high-priority blockers - Convert recurring operational friction into scalable platform capabilities used across teams - Lead technical conversations and define decision mechanisms across Core Infrastructure and product teams - Develop and communicate a multi-year technical strategy for REP with clearly defined quarterly milestones and success metrics - Debug production issues across services and levels of the stack - Mentor and grow senior engineers, elevating technical planning, design standards, and cross-region execution from Bangalore - Collaborate effectively in a global, distributed environment with asynchronous decision-making across AMER, EU, and APAC Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - BS or MS in Computer Science or equivalent field - 12+ years of professional experience in software or infrastructure engineering - Proven track record leading complex, cross-team or company-wide infrastructure projects with high reliability and scale requirements - Strong engineering background in distributed systems, platform engineering, or backend infrastructure, with a focus on operational safety and correctness - Experience optimizing the reliability and security of distributed systems - Experience scaling and migrating systems with little to no downtime - Strong technical judgment and written communication skills, including design docs and trade-off analysis - Experience mentoring engineers at various stages of their careers - Experience with one or more major cloud providers — AWS, Azure, OCI, or GCP - Familiarity with ops culture and a solid understanding of metrics, alarms, and dashboards Preferred qualifications - Experience validating large-scale migrations, failovers, regional launches, regionalization, or control-plane behavior. - Experience designing or operating infrastructure with strict reliability, correctness, latency, or availability requirements. - Strong observability judgment across metrics, logs, tracing, alerting, and incident analysis. - Experience with networking, service discovery, traffic routing, databases, Kubernetes, Terraform, or cloud infrastructure. - Experience reducing packet loss, network latency, cross-region dependency risk, or other infrastructure failure modes. - Experience making infrastructure validation or readiness evidence usable by service owners, operators, or partner teams. - Experience turning repeated operational problems into reusable tools, standards, or platform mechanisms. - 3+ years of experience with Go.
Senior Engine Programmer, Unreal Cloud Services
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ENGINEERING - UNREAL ENGINE What We Do Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of engineering experts are always innovating to improve the tools and technology that empower content developers worldwide. What You'll Do Join Unreal Cloud Services, the team behind Lore (Epic's next-generation, open-source version control system built for the future of game development). You'll work at the boundary between editor and cloud, making distributed workflows, collaboration, and version control feel like a natural part of the creator experience. As Unreal evolves toward UE6, you'll help bring these capabilities together into a cohesive editor experience. In this role, you will - Build Unreal Editor features that bring cloud-based collaboration into everyday creator workflows - Implement responsive editor experiences that interact with asynchronous and distributed servi - Work across editor, networking, storage, revision control, and UX systems to make cloud-backed workflows feel natural to Unreal Engi - Partner with Product and UX teams to turn product ideas into clear, practical, and polished editor experiences - Collaborate with backend and infrastructure engineers on features that span the editor and cloud services - Use modern development practices, including AI-assisted programming, to improve implementation, debugging, and iteration What we're looking for - Strong C++ skills and experience working in a large native codebase - Experience building user-facing tools, editor features, and complex interactive workflows - Experience building clients that interact with asynchronous or networked services - Strong understanding of parallelism, networking, latency, and failure handling - Strong eye for user experience and how technical behavior affects creator workflows - Experience working closely with Product, UX, and engineering teams to ship features - Experience with Unreal Engine, another game engine, or comparable tools development - Experience with Rust is a plus EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits except for PMI (for dependents). Our current benefits package includes pension, private medical insurance, health care cash plan, dental insurance, disability and life insurance, critical illness, cycle to work scheme, flu shots, health checks, and meals. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .
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