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Staff Software Engineer, Exchange Platform
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. Bitstamp made history in 2011 as the world’s first regulated crypto exchange. As a key part of the Robinhood family, the Exchange Platform team owns the full service lifecycle. We are the architects of a modern, high-velocity ecosystem that enables our global expansion, ensuring the world’s longest-running exchange remains unshakeable. As a Staff Backend Engineer on the Exchange Platform team, you will define the technical vision, long-term architectural roadmap, and engineering standards for our platform modernization strategy. You will serve as a primary technical leader across the Bitstamp exchange ecosystem—architecting the next generation of cloud infrastructure for mission-critical, low-latency services, driving complex distributed systems integrations, and elevating the technical bar across Robinhood. This role is based in our Ljubljana, Slovenia office, 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. Requires participation in an on-call rotation to support business needs. What you’ll do - Architect Strategic Infrastructure : Define and drive the long-term architectural vision for high-availability, low-latency cloud platforms, setting engineering standards that ensure performance, reliability, and portability across our global ecosystem. - Lead Modernization at Scale: Spearhead multi-quarter modernization initiatives, driving the transition of foundational services to resilient, containerized cloud environments while optimizing deployment pipelines and auto-scaling patterns. - Direct High-Stakes Integrations: Lead the technical alignment and distributed architecture bridging Bitstamp’s exchange backend with Robinhood’s global infrastructure, solving complex cross-organization technical challenges. - Eliminate Operational Toil & Technical Debt: Anticipate future scalability bottlenecks and architect self-healing systems and intelligent automation that radically reduce operational load and boost developer velocity. - Exercise Systemic Ownership : Take end-to-end accountability for ambiguous, high-impact technical initiatives—navigating complex trade-offs between speed, resilience, cost, and maintainability. - Foster Technical Leadership & Culture: Mentor and elevate senior engineers, lead architectural design reviews, and establish engineering best practices that raise the bar across the organization. - Uphold Platform Resilience: Act as a senior escalation point for high-severity incidents, lead rigorous post-mortems, and institute systemic safeguards to ensure 24/7 unshakeable platform integrity. What you bring - Extensive Technical Leadership : 8+ years of relevant experience in backend and distributed systems engineering, with a proven track record of operating as a technical lead or Staff-level engineer in high-scale environments. - Deep Cloud & Container Mastery : Advanced architectural expertise with containerization and orchestration (Docker, Kubernetes) and enterprise-scale AWS cloud services (EC2, ECS/EKS, Aurora, DynamoDB). - Distributed Systems & Low-Latency Acumen: Deep understanding of high-concurrency, low-latency backend architectures, event-driven systems, fault tolerance, and data consistency models. - Strategic Autonomy & Execution: Demonstrated ability to take ambiguous, organization-wide problems from inception to production, successfully delivering high-impact business outcomes. - Cross-Functional Influence: Exceptional communication skills with the ability to build technical consensus, influence cross-functional roadmaps, and align senior engineering and product stakeholders across multiple geographies. - Operational Excellence: A pragmatic, systems-thinking mindset that balances forward-looking architectural evolution with the operational realities of supporting a 24/7 financial exchange. What we offer - Challenging, high-impact work to grow your career - Performance driven compensation with multipliers for outsized impact and bonus programs - Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs - 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 employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more. - Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more! - Exceptional office experience with catered meals, events, and comfortable workspaces. - Monthly commuter stipend to help offset in-office commuting costs 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.
Senior Software Engineer - Distributed Systems (OD...
Senior Software Engineer - Distributed Systems (ODP Governance) ODP Governance is a cross platform team working in the biggest Datadog products (Metrics, Logs, APM) with the mission of giving customers governance tools to control costs and data hygiene of their telemetry. Our team builds cost controls and governance tools that help Datadog’s enterprise customers manage data ingestion, reduce unwanted data, and prioritize the telemetry that delivers the most value. Our scope spans multiple Datadog products, including Metrics, Events, Logs, and APM. As a backend engineering team, we partner with these product teams to address recurring customer challenges that create operational friction, increase costs, and contribute to churn. We also identify opportunities to extend successful capabilities across products—for example, adapting a control developed for Logs to support APM. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: - Build performant high scale distributed systems to handle the load of Datadog’s biggest products - Build relationships across teams and independently seek out the information needed to move work forward. - Become productive in unfamiliar systems and navigate ambiguity. - Anticipate technical dependencies and integration challenges early. - Recognize when a solution could benefit another product and take the initiative to explore it. - Connect engineering decisions to customer value, cost efficiency, and usability. Who You Are: - You have 6+ years of experience - You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) - Distributed systems engineer with experience building high performance large scale systems. - Excellent communication skills (English). - High proactivity and cross-team collaboration experience - You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how - You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output - Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products 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: - 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 Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. LI-Remote 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 .
Senior Software Engineer - Distributed Systems (Co...
The Continuous Profiler team at Datadog is building a cutting-edge continuous profiling product that has low enough overhead to run continuously in production, unlocking insights into how customer applications perform under real workloads at scale. As AI reshapes software development and teams lose touch with how their code works and interacts with the hardware, this capability is becoming more essential than ever, for humans and AI alike. Today the information produced by our profilers is used for everything from automatic performance tuning to root cause analysis. As a distributed systems engineer on the profiling team, you will be contributing to the systems that intake, process, index, store and make sense of the data collected. You will be working with some of the best runtime engineers, visualization experts, data scientists and designers in the industry on challenging and fun problems. Together, we contribute to runtime ecosystems such as Go and tackle novel problems, from profiling asynchronous Python applications to helping customers solve memory leaks in their applications At Datadog, we place value in our office culture: the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: - Help design, build and contribute to the core services making the profiling product possible, at a scale that is unusual even within Datadog. - Participate in multi-disciplinary squads, and iterate with customers, to bring ideas all the way from early explorations to impactful product experiences. - You will be responsible for your code from development to production, and meet ambitious SLO and quality gates. - You will be working with many internal and external stakeholders, working on various ways to consume the profiling data, such as the UI, agentic tools, internal applications, integrations and partner products. Who You Are: - Experience with Java and/or Go essential. - Distributed systems engineer with experience building high performance large scale systems. - Excellent communication skills (English). - Ability to meaningfully review architectural proposals and guide technical trade-offs in a complex product space. - Experience working with AI coding agents to produce performant and maintainable results. - Experience collaborating with distributed teams. - Working knowledge of statistical methods, such as sampling strategies, bayesian optimization, sensor fusion etc (nice to have). 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: - 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 Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. 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 .
Senior Software Engineer - Distributed Systems (Co...
The Continuous Profiler team at Datadog is building a cutting-edge continuous profiling product that has low enough overhead to run continuously in production, unlocking insights into how customer applications perform under real workloads at scale. As AI reshapes software development and teams lose touch with how their code works and interacts with the hardware, this capability is becoming more essential than ever, for humans and AI alike. Today the information produced by our profilers is used for everything from automatic performance tuning to root cause analysis. As a distributed systems engineer on the profiling team, you will be contributing to the systems that intake, process, index, store and make sense of the data collected. You will be working with some of the best runtime engineers, visualization experts, data scientists and designers in the industry on challenging and fun problems. Together, we contribute to runtime ecosystems such as Go and tackle novel problems, from profiling asynchronous Python applications to helping customers solve memory leaks in their applications . At Datadog, we place value in our office culture: the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: - Help design, build and contribute to the core services making the profiling product possible, at a scale that is unusual even within Datadog. - Participate in multi-disciplinary squads, and iterate with customers, to bring ideas all the way from early explorations to impactful product experiences. - You will be responsible for your code from development to production, and meet ambitious SLO and quality gates. - You will be working with many internal and external stakeholders, working on various ways to consume the profiling data, such as the UI, agentic tools, internal applications, integrations and partner products. Who You Are: - Experience with Java and/or Go essential. - Distributed systems engineer with experience building high performance large scale systems. - Excellent communication skills (English). - Ability to meaningfully review architectural proposals and guide technical trade-offs in a complex product space. - Experience working with AI coding agents to produce performant and maintainable results. - Experience collaborating with distributed teams. - Working knowledge of statistical methods, such as sampling strategies, bayesian optimization, sensor fusion etc (nice to have). 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: - 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 Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $244,000 - $305,000 USD 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 .
Senior Software Engineer - Distributed Systems (Co...
The Continuous Profiler](https://www.datadoghq.com/blog/continuous-profiling-fourth-pillar/) team at Datadog is building a cutting-edge continuous profiling product that has low enough overhead to run continuously in production, unlocking insights into how customer applications perform under real workloads at scale. As AI reshapes software development and teams lose touch with how their code works and interacts with the hardware, this capability is becoming more essential than ever, for humans and AI alike. Today the information produced by our profilers is used for everything from automatic performance tuning to root cause analysis. As a distributed systems engineer on the profiling team, you will be contributing to the systems that intake, process, index, store and make sense of the data collected. You will be working with some of the best runtime engineers, visualization experts, data scientists and designers in the industry on challenging and fun problems. Together, we contribute to runtime ecosystems such as Go (https://opensource.datadoghq.com/projects/go/) and tackle novel problems, from profiling asynchronous Python applications (https://www.datadoghq.com/blog/engineering/async-python-profiler/) to helping customers solve memory leaks in their applications (https://www.datadoghq.com/blog/memory-leak-workflow/). At Datadog, we place value in our office culture: the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: - Help design, build and contribute to the core services making the profiling product possible, at a scale that is unusual even within Datadog. - Participate in multi-disciplinary squads, and iterate with customers, to bring ideas all the way from early explorations to impactful product experiences. - You will be responsible for your code from development to production, and meet ambitious SLO and quality gates. - You will be working with many internal and external stakeholders, working on various ways to consume the profiling data, such as the UI, agentic tools, internal applications, integrations and partner products. Who You Are: - Experience with Java and/or Go essential. - Distributed systems engineer with experience building high performance large scale systems. - Excellent communication skills (English). - Ability to meaningfully review architectural proposals and guide technical trade-offs in a complex product space. - Experience working with AI coding agents to produce performant and maintainable results. - Experience collaborating with distributed teams. - Working knowledge of statistical methods, such as sampling strategies, bayesian optimization, sensor fusion etc (nice to have). 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: - 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 Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $192,000 - $240,000 USD 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 .
Staff Software Engineer
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. Bitstamp made history in 2011 as the world’s first regulated crypto exchange. As a key part of the Robinhood family, the Exchange Platform team owns the full service lifecycle. We are the architects of a modern, high-velocity ecosystem that enables our global expansion, ensuring the world’s longest-running exchange remains unshakeable. As a Staff Backend Engineer on the Exchange Platform team, you will define the technical vision, long-term architectural roadmap, and engineering standards for our platform modernization strategy. You will serve as a primary technical leader across the Bitstamp exchange ecosystem—architecting the next generation of cloud infrastructure for mission-critical, low-latency services, driving complex distributed systems integrations, and elevating the technical bar across Robinhood. This role is based in our London office, 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. Requires participation in an on-call rotation to support business needs. What you’ll do - Architect Strategic Infrastructure : Define and drive the long-term architectural vision for high-availability, low-latency cloud platforms, setting engineering standards that ensure performance, reliability, and portability across our global ecosystem. - Lead Modernization at Scale: Spearhead multi-quarter modernization initiatives, driving the transition of foundational services to resilient, containerized cloud environments while optimizing deployment pipelines and auto-scaling patterns. - Direct High-Stakes Integrations: Lead the technical alignment and distributed architecture bridging Bitstamp’s exchange backend with Robinhood’s global infrastructure, solving complex cross-organization technical challenges. - Eliminate Operational Toil & Technical Debt: Anticipate future scalability bottlenecks and architect self-healing systems and intelligent automation that radically reduce operational load and boost developer velocity. - Exercise Systemic Ownership : Take end-to-end accountability for ambiguous, high-impact technical initiatives—navigating complex trade-offs between speed, resilience, cost, and maintainability. - Foster Technical Leadership & Culture: Mentor and elevate senior engineers, lead architectural design reviews, and establish engineering best practices that raise the bar across the organization. - Uphold Platform Resilience: Act as a senior escalation point for high-severity incidents, lead rigorous post-mortems, and institute systemic safeguards to ensure 24/7 unshakeable platform integrity. What you bring - Extensive Technical Leadership : 8+ years of relevant experience in backend and distributed systems engineering, with a proven track record of operating as a technical lead or Staff-level engineer in high-scale environments. - Deep Cloud & Container Mastery : Advanced architectural expertise with containerization and orchestration (Docker, Kubernetes) and enterprise-scale AWS cloud services (EC2, ECS/EKS, Aurora, DynamoDB). - Distributed Systems & Low-Latency Acumen: Deep understanding of high-concurrency, low-latency backend architectures, event-driven systems, fault tolerance, and data consistency models. - Strategic Autonomy & Execution: Demonstrated ability to take ambiguous, organization-wide problems from inception to production, successfully delivering high-impact business outcomes. - Cross-Functional Influence: Exceptional communication skills with the ability to build technical consensus, influence cross-functional roadmaps, and align senior engineering and product stakeholders across multiple geographies. - Operational Excellence: A pragmatic, systems-thinking mindset that balances forward-looking architectural evolution with the operational realities of supporting a 24/7 financial exchange. What we offer - Challenging, high-impact work to grow your career - Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership - Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs - 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 employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more. - Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more! - Exceptional office experience with catered meals, events, and comfortable workspaces. - Monthly commuter stipend to help offset in-office commuting costs 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.
Senior Staff Distributed Systems Engineer
About IonQ: IonQ, Inc . [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. Location: This role is based onsite at our office in Santa Clara, CA. Travel: Up to 15% domestic or international. Job ID: 1720 The Role: We are looking for a deeply hands-on Senior Staff Distributed Systems Engineer to join the team building IonQ’s Network and Security Platform. You will own the backend services — ingestion pipelines, telemetry processing, device management — that give operators real-time visibility into their networks and the intelligence to make them quantum-safe. This is infrastructure that matters: the systems you build will underpin IonQ’s mission to secure the world’s networks against quantum threats. In this role, you will own backend services end-to-end — from high-throughput ingestion pipelines collecting telemetry from large device fleets, to time-series storage, real-time processing engines, and the APIs that surface platform data to the rest of the organization. You are a deeply hands-on engineer who writes production-quality Go and/or Rust daily, takes pride in operational ownership, and brings strong distributed systems fundamentals to every problem you tackle. You will partner with and at times drive platform architecture decisions alongside the Principal Architect, setting technical direction for the platform and influencing how IonQ's engineering org approaches distributed systems problems more broadly. The ideal candidate has direct experience building data-intensive backend systems at scale — and is energized by the challenge of making complex infrastructure simple, observable, and dependable. Responsibilities : Backend Services & Production Code - Design and ship production backend services in Go and/or Rust, measured by code quality, test coverage, and on-time delivery of service milestones. - Build and maintain high-throughput telemetry ingestion pipelines using gNMI, NETCONF, and SNMP, ensuring reliable data collection across large device fleets. - Develop RESTful and gRPC APIs that expose platform data to internal consumers and external integrations, evaluated by uptime, latency SLAs, and adoption by downstream teams. Data Engineering & Storage - Implement and evolve the time-series storage layer (InfluxDB, TimescaleDB, or equivalent), optimizing for query performance, retention policies, and data fidelity under production load. - Build event streaming pipelines using Kafka or Kinesis with at-least-once or exactly-once semantics, validated through integration tests and production monitoring. - Design data partitioning and archival strategies that sustain target ingest volumes while meeting defined latency and durability SLAs. Platform Reliability & Operations - Own service reliability end-to-end — participate in on-call rotation, lead incident response, and drive systemic improvements tracked via post-mortems and reduction in repeat incidents. - Instrument all services with structured logging, distributed tracing, and metrics (OpenTelemetry, Prometheus) so that production issues can be diagnosed and resolved within defined SLOs. - Identify systemic reliability, scalability, or architectural gaps across the platform — not just within your service area — and drive org-wide initiatives to resolve them. Cloud-Native Infrastructure - Package and deploy services as containerized workloads on Kubernetes, maintaining infrastructure-as-code (Terraform) across AWS, GCP, and Azure environments. - Contribute to multi-cloud deployment patterns that meet platform availability targets and data residency requirements. Collaboration & Engineering Quality - Partner with the Principal Architect to translate platform architecture decisions into tested, production-grade implementations with clear engineering specifications. - Define the engineering standards, code review culture, and mentorship frameworks for the platform team; coach Staff and Senior engineers; and act as a cross-organizational technical resource for distributed systems and data infrastructure questions across IonQ. Requirements: - 12+ years of backend software engineering experience, with a strong record of shipping production services at scale. - Proven, hands-on proficiency in Go and/or Rust — you write these languages regularly and can demonstrate production systems you have built with them. - Solid experience building and operating distributed data systems: event streaming (Kafka, Kinesis, or equivalent), time-series databases, and high-throughput ingestion pipelines. - Strong fundamentals in distributed systems: consistency models, failure modes, backpressure, idempotency, and exactly-once vs. at-least-once processing tradeoffs. - Experience with cloud-native deployment: containerization (Docker), Kubernetes orchestration, and operating services across at least one major cloud provider (AWS, GCP, or Azure). - Familiarity with observability tooling — structured logging, metrics (Prometheus/Grafana or equivalent), and distributed tracing (OpenTelemetry or equivalent). - Comfortable writing SQL and working with both relational and time-series data models; experience with schema design and query optimization. - Strong engineering practices including TDD, code review, CI/CD, and on-call ownership — plus a demonstrated track record of defining and evangelizing these practices at the organizational level across multiple teams or companies. - Established record of setting technical direction at the organizational level — shaping how engineering teams across IonQ approach distributed systems and infrastructure problems, beyond a single team or domain. Preferred Qualifications: - Experience with network telemetry protocols (gNMI, NETCONF, SNMP) or prior work at a network equipment vendor or network management platform company (e.g., Juniper, Cisco, Nokia). - Hands-on experience with graph databases or graph data models for network topology (e.g., Neo4j, Amazon Neptune, or custom adjacency representations). - Familiarity with YANG data modeling or prior experience working with device configuration schemas in network management contexts. - Experience building multi-tenant SaaS backend services with strong data isolation and per-tenant resource management. - Contributions to open-source infrastructure, observability, or networking projects; or published technical writing on distributed systems topics. - Experience working in or adjacent to regulated, security-conscious environments (FedRAMP, NIST, or equivalent). The approximate base salary range for this position is $216,136 - $282,978 . The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site. Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401(k), unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!
Senior Distributed Systems Engineer
About IonQ: IonQ, Inc . [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. Location: This role is based onsite at our office in Santa Clara, CA. Travel: Up to 15% domestic or international. Job ID: 1722 The Role: We are looking for a deeply hands-on Senior Distributed Systems Engineer to join the team building IonQ’s Network and Security Platform. You will own the backend services — ingestion pipelines, telemetry processing, device management — that give operators real-time visibility into their networks and the intelligence to make them quantum-safe. This is infrastructure that matters: the systems you build will underpin IonQ’s mission to secure the world’s networks against quantum threats. In this role, you will own backend services end-to-end — from high-throughput ingestion pipelines collecting telemetry from large device fleets, to time-series storage, real-time processing engines, and the APIs that surface platform data to the rest of the organization. You are a deeply hands-on engineer who writes production-quality Go and/or Rust daily, takes pride in operational ownership, and brings strong distributed systems fundamentals to every problem you tackle. You will work closely with the Principal Architect to translate platform architecture decisions into reliable, well-tested, production-grade implementations. The ideal candidate has direct experience building data-intensive backend systems at scale — and is energized by the challenge of making complex infrastructure simple, observable, and dependable. Responsibilities : Backend Services & Production Code - Design and ship production backend services in Go and/or Rust, measured by code quality, test coverage, and on-time delivery of service milestones. - Build and maintain high-throughput telemetry ingestion pipelines using gNMI, NETCONF, and SNMP, ensuring reliable data collection across large device fleets. - Develop RESTful and gRPC APIs that expose platform data to internal consumers and external integrations, evaluated by uptime, latency SLAs, and adoption by downstream teams. Data Engineering & Storage - Implement and evolve the time-series storage layer (InfluxDB, TimescaleDB, or equivalent), optimizing for query performance, retention policies, and data fidelity under production load. - Build event streaming pipelines using Kafka or Kinesis with at-least-once or exactly-once semantics, validated through integration tests and production monitoring. - Design data partitioning and archival strategies that sustain target ingest volumes while meeting defined latency and durability SLAs. Platform Reliability & Operations - Own service reliability end-to-end — participate in on-call rotation, lead incident response, and drive systemic improvements tracked via post-mortems and reduction in repeat incidents. - Instrument all services with structured logging, distributed tracing, and metrics (OpenTelemetry, Prometheus) so that production issues can be diagnosed and resolved within defined SLOs. Cloud-Native Infrastructure - Package and deploy services as containerized workloads on Kubernetes, maintaining infrastructure-as-code (Terraform) across AWS, GCP, and Azure environments. - Contribute to multi-cloud deployment patterns that meet platform availability targets and data residency requirements. Collaboration & Engineering Quality - Partner with the Principal Architect to translate platform architecture decisions into tested, production-grade implementations with clear engineering specifications. - Lead code reviews and mentor junior engineers through pairing and technical guidance, raising the team’s overall bar for correctness and maintainability. Requirements: - 6+ years of backend software engineering experience, with a strong record of shipping production services at scale. - Proven, hands-on proficiency in Go and/or Rust — you write these languages regularly and can demonstrate production systems you have built with them. - Solid experience building and operating distributed data systems: event streaming (Kafka, Kinesis, or equivalent), time-series databases, and high-throughput ingestion pipelines. - Strong fundamentals in distributed systems: consistency models, failure modes, backpressure, idempotency, and exactly-once vs. at-least-once processing tradeoffs. - Experience with cloud-native deployment: containerization (Docker), Kubernetes orchestration, and operating services across at least one major cloud provider (AWS, GCP, or Azure). - Familiarity with observability tooling — structured logging, metrics (Prometheus/Grafana or equivalent), and distributed tracing (OpenTelemetry or equivalent). - Comfortable writing SQL and working with both relational and time-series data models; experience with schema design and query optimization. - Strong engineering practices: test-driven or test-informed development, code review, CI/CD, and operational ownership including on-call. Preferred Qualifications: - Experience with network telemetry protocols (gNMI, NETCONF, SNMP) or prior work at a network equipment vendor or network management platform company (e.g., Juniper, Cisco, Nokia). - Hands-on experience with graph databases or graph data models for network topology (e.g., Neo4j, Amazon Neptune, or custom adjacency representations). - Familiarity with YANG data modeling or prior experience working with device configuration schemas in network management contexts. - Experience building multi-tenant SaaS backend services with strong data isolation and per-tenant resource management. - Contributions to open-source infrastructure, observability, or networking projects; or published technical writing on distributed systems topics. - Experience working in or adjacent to regulated, security-conscious environments (FedRAMP, NIST, or equivalent). The approximate base salary range for this position is $163,430 - $213,972 . The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site. Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401(k), unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!
Principal Distributed Systems Engineer
About IonQ: IonQ, Inc . [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. Location: This role is based onsite at our office in Santa Clara, CA. Travel: Up to 15%, domestic or international. Job ID: 1923 The Role: We are looking for a Principal Distributed Systems Engineer to join the team building IonQ's Network and Security Platform. As a Principal Distributed Systems Engineer, you'll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world's best quantum computers to solve the world's most complex problems — and to secure the world's networks against quantum threats. In this role, you will be responsible for setting the technical direction and end-to-end architecture of the platform's distributed backend — the ingestion pipelines, event streaming and telemetry processing, time-series and data storage layers, and APIs that give operators real-time visibility into their networks and the intelligence to make them quantum-safe. You will remain hands-on: building reference implementations and proofs of concept, reviewing critical designs and code, and turning architecture decisions into production-grade systems alongside Staff and Senior engineers. The ideal candidate is a hands-on architect and natural technical leader who has designed and scaled multi-tenant, data-intensive distributed platforms, can align technology choices with business outcomes, and is energized by making complex infrastructure simple, observable, secure, and dependable. Responsibilities : Platform Architecture & Technical Direction - Define and own the multi-year architecture and technical roadmap for the platform's distributed backend, measured by delivery against roadmap milestones and platform availability, scalability, and cost targets. - Lead architecture reviews and author the design standards, reference architectures, and decision records that guide how the platform — and IonQ's broader engineering organization — approaches distributed systems and data infrastructure problems. - Identify systemic reliability, scalability, security, or architectural gaps across the platform and drive cross-team initiatives to resolve them. - Partner with product, security, and engineering leadership to translate business requirements into architecture decisions, clear engineering specifications, and sequenced delivery plans. Distributed Data & Streaming Systems - Architect high-throughput ingestion and telemetry pipelines that reliably collect data from large network device fleets (e.g., gNMI/gRPC, NETCONF, SNMP streams). - Design event streaming architectures using Kafka or Kinesis with well-defined delivery semantics (at-least-once / exactly-once), schema enforcement and evolution, and backpressure handling. - Define the time-series and storage strategy (InfluxDB, TimescaleDB, or equivalent), including partitioning, retention, archival, and query performance under production load. - Design RESTful and gRPC APIs that expose platform data to internal consumers and external integrations, evaluated by latency SLAs, uptime, and adoption by downstream teams. Hands-On Engineering - Build production-quality services, prototypes, and reference implementations in Go and/or Rust (or another production systems language), setting the bar for code quality and test coverage. - Review critical designs and code across teams to ensure correctness, performance, and operability. Reliability, Security & Operations - Establish the observability architecture — structured logging, distributed tracing, and metrics (OpenTelemetry, Prometheus) — so production issues can be diagnosed and resolved within defined SLOs. - Define multi-tenant isolation, access control, and data-governance patterns that meet security, compliance, and data residency requirements. - Guide incident response for complex production issues, participate in on-call escalation, and drive systemic improvements tracked through post-mortems. Cloud-Native Infrastructure - Set the multi-cloud deployment architecture for containerized workloads on Kubernetes, with infrastructure-as-code (Terraform) across AWS, GCP, and Azure, meeting platform availability and cost targets. Leadership & Mentorship - Mentor and coach Senior, Staff, and Senior Staff engineers; raise the bar on engineering standards, code review culture, and design practices. - Act as a cross-organizational technical authority on distributed systems and data infrastructure across IonQ. Requirements: - 15+ years of software engineering experience building and operating distributed backend systems and platforms at scale, or an equivalent combination of education and experience. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Demonstrated record as a hands-on architect: defining the architecture and multi-year roadmap for large-scale distributed platforms and driving them through to production. - Deep experience designing distributed data systems: event streaming (Kafka, Kinesis, or equivalent), high-throughput ingestion pipelines, and time-series or large-scale data stores. - Strong fundamentals in distributed systems: consistency models, failure modes, backpressure, idempotency, and exactly-once vs. at-least-once processing tradeoffs. - Hands-on proficiency in at least one production systems language (Go, Rust, Java, or Scala), with the ability to build reference implementations and review production code. - Extensive experience with cloud-native architecture on AWS (GCP or Azure a plus): containerization, Kubernetes, infrastructure-as-code, security, and cost optimization. - Experience designing multi-tenant platforms with strong data isolation, access control, and governance. - Experience defining observability and reliability frameworks — logging, metrics, tracing, SLOs — for mission-critical systems. - Established record of setting technical direction beyond a single team: leading architecture governance, influencing executive stakeholders, and mentoring senior engineers across globally distributed organizations. - Excellent written and verbal communication, with the ability to explain complex architecture tradeoffs to both engineering and business audiences. Preferred Qualifications: - Master's degree in Computer Science, Engineering, or a related discipline. - Production experience in Go and/or Rust. - Experience with network telemetry and network management platforms — gNMI/gRPC, NETCONF, SNMP, YANG data models — or prior work at a network equipment vendor or network management company (e.g., Juniper, Cisco, Arista, Nokia). - Experience with graph databases or graph data models for network topology (e.g., Neo4j, Amazon Neptune, or custom adjacency representations). - Experience with AI/ML platform infrastructure (MLOps / LLMOps, model governance, agentic workflows) applied to operational or network data. - Experience in regulated, security-conscious environments (FedRAMP, NIST, or equivalent). - Contributions to open-source infrastructure, streaming, observability, or networking projects, or published technical writing on distributed systems. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site. If this role has a commission structure, the compensation range below just reflects the base compensation range. Wage Transparency: $212,000 - $265,000 USD Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401(k), unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!
Senior Staff Distributed Systems Engineer
About IonQ: IonQ, Inc . [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. Location: This role is based onsite at our office in Santa Clara, CA. Travel: Up to 15% domestic or international. Job ID: 1720 The Role: We are looking for a deeply hands-on Senior Staff Distributed Systems Engineer to join the team building IonQ’s Network and Security Platform. You will own the backend services — ingestion pipelines, telemetry processing, device management — that give operators real-time visibility into their networks and the intelligence to make them quantum-safe. This is infrastructure that matters: the systems you build will underpin IonQ’s mission to secure the world’s networks against quantum threats. In this role, you will own backend services end-to-end — from high-
Senior Software Engineer - Data Access
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Data Access team within Infra / Storage builds EaaS (Entities-as-a-Service), Roblox’s large-scale managed OLTP access and management platform powering tens of millions of QPS across thousands of services. EaaS abstracts the complexity of distributed databases and caching systems behind a consistent and productive developer experience, enabling teams across Roblox to safely build and operate stateful systems at massive scale without requiring deep database expertise. The team operates at the intersection of distributed systems engineering, reliability engineering, and platform architecture — solving hard infrastructure problems that directly impact Roblox-wide scale and stability. As a Senior Software Engineer you will work on some of Roblox’s hardest backend infrastructure challenges around scalability, reliability, workload governance, adaptive flow control, and distributed systems. You Will - Build and evolve EaaS, Roblox’s managed OLTP access platform powering tens of millions of QPS across hundreds of services. - Design infrastructure that abstracts distributed databases and caching systems behind a consistent, safe, and highly productive developer experience. - Drive reliability and scalability improvements across distributed systems, including adaptive flow control, workload isolation and governance, and large-scale caching behavior. - Lead end-to-end technical execution architecture, implementation, rollout, production operations, and incident response for mission-critical infrastructure systems. - Analyze real production traffic patterns and failure modes to improve platform reliability, operational predictability, and scalability under rapidly growing workloads. - Improve platform safety, observability, deployment reliability, and operational excellence across the stack. - Partner with teams across Roblox to solve real scalability and reliability challenges for critical production workloads. You Have - Experience building large-scale infrastructure abstractions that standardize access to complex backend systems across broad engineering organizations. - Experience designing or operating adaptive rate limiting, flow control, workload governance, or reliability automation systems in high-scale production environments. - Experience operating or building systems around distributed databases, caching systems, OLTP platforms, or stateful infrastructure. - Experience driving complex technical initiatives end-to-end wit
Staff Distributed Systems Engineer
About IonQ: IonQ, Inc . [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. Location: This role is based onsite at our office in Santa Clara, CA. Travel: Up to 15% domestic or international. Job ID: 1721 The Role: We are looking for a deeply hands-on Staff Distributed Systems Engineer to join the team building IonQ’s Network and Security Platform. You will own the backend services — ingestion pipelines, telemetry processing, device management — that give operators real-time visibility into their networks and the intelligence to make them quantum-safe. This is infrastructure that matters: the systems you build will underpin IonQ’s mission to secure the world’s networks against quantum threats. In this role, you will own backend services end-to-end — from high-through
Software Engineer, API Frontiers
About the Team API Frontiers turns OpenAI’s frontier models into production APIs that developers can use to build reliable products and agents. We own the core path connecting models to developers through the Responses API, with a focus on safety, reliability, and speed. Working closely with Research, Safety, Codex, and other API teams, we bring new model capabilities into production and improve them through developer feedback. About the Role We are looking for a backend software engineer to build and operate the services behind the Responses API. You will shape API behavior, bring new capabilities from research into production, and make long-running agent workflows dependable and fast. The work combines distributed systems engineering with product judgment: designing useful developer interfaces, managing staged rollouts, and following production issues through to durable fixes. In this role, you will: - Design, build, and operate APIs and backend services that bring frontier model capabilities to developers. - Partner with Research, Safety, Codex, and API teams to define API behavior and deliver safe, staged launches. - Build API capabilities for agent workflows, including task delegation, context sharing, and parallel execution. - Strengthen long-running request reliability across timeouts, cancellation, streaming, and background execution. - Improve request-processing performance and tail latency through profiling, efficient systems code, and persistent connections. - Turn developer feedback and production failures into better observability, diagnostics, and lasting product improvements. Your background might look something like: - 5+ years of experience building and operating backend services or developer-facing APIs in production. - Strong software engineering fundamentals, with practical knowledge of distributed systems, concurrency, and asynchronous execution. - Ability to diagnose production failures and performance bottlenecks using observability data and profiling. - Product judgment and developer empathy, with a track record of translating complex capabilities into clear, dependable APIs. - Experience taking ownership of ambiguous technical problems, from defining an approach through shipping and improving the result. - Clear communication and effective collaboration across engineering, research, product, and safety disciplines. - Experience with Rust, streaming protocols or WebSockets, or long-running workflow systems is a plus. 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 Distributed Systems Engineer - Cache
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, Champaign, IL, Denver, CO, New York, NY, San Francisco, CA, Seattle, WA, Washington, DC About the Department Cloudflare's Engineering Team builds and runs the software that helps power millions of Internet properties. Product development covers both new features and functionality as well as scaling our existing software to meet the challenges of a massively growing customer base. The Content Delivery group helps make the Internet faster, safer, and more reliable by building and optimizing one of the world's largest CDNs. Role Summary The Cache team builds and operates the high-performance reverse proxy and caching data plane at Cloudflare's edge. Built on Pingora, Cloudflare's open-source Rust framework for fast, reliable network services, this software serves cached content, routes traffic across cache tiers, and connects Cloudflare to customer origins. Its performance, correctness, and resilience directly affect request latency, origin load, and availability across Cloudflare's global network. You will work primarily on the reverse proxy and the services that support it: backend routing and load balancing, cache storage and indexing, globally distributed purge, Tiered Cache routing, and production observability. These systems are also foundational building blocks for teams across Cloudflare, which use the proxy, caching, routing, and purge capabilities to power their own products. The team carries these capabilities through shared internal interfaces, distributed control planes, and customer-facing products including Cache Rules, Tiered Cache, Cache Reserve, Workers Cache API, and Always Online. Features ship end to end: you will help design, implement, test, roll out, and operate the systems you build. This is a good fit if you enjoy problems where latency, correctness, and reliability are hard requirements; where changes must be introduced safely across a global fleet; and where improvements can benefit a significant portion of Internet traffic. Role Responsibilities - Design, build, and operate the high-performance cache and proxy data plane that serves content at Cloudflare's edge and connects to customer origins - Contribute to Pingora and the production services built on it, improving asynchronous I/O, connection handling, memory and disk efficiency, and tail latency - Improve cache correctness and performance through object placement, retention, admission and eviction policies, range-request handling, and resilience to corrupt or incomplete data - Build globally distributed purge and Tiered Cache systems that invalidate content quickly, select efficient cache paths, improve hit rates, and reduce origin load - Deliver shared platform capabilities and customer-facing APIs and rules for cache keys, TTLs, response handling, purge behavior, and programmatic access from Workers - Own features end to end: write technical designs, implement services and libraries, add automated tests and observability, drive staged rollouts, and operate the resulting systems in production - Participate in the team's on-call rotation, lead incident response and post-mortems, and continually improve reliability, capacity, and operational tooling - Reason carefully about failure modes and blast radius, using traffic cohorts, measurable guardrails, and rollback mechanisms to introduce high-impact changes safely - Partner with product and engineering teams across Cloudflare that depend on or extend the cache and proxy platform - Raise the engineering bar through code review, mentorship, clear written communication, and improvements to team standards and tooling Role Requirements (Must-Have Skills) - Minimum 4 years of professional experience designing, building, and operating production software systems - Strong proficiency in at least one systems or backend language such as Rust, Go, C, or C++, with a willingness to work in Rust - Strong understanding of HTTP semantics and transport protocols such as TCP, TLS, and QUIC - Experience designing and implementing secure, resilient, high-performance distributed systems - Experience with Linux systems, networking, concurrency, and performance analysis - Track record of production ownership, including monitoring, debugging, on-call, incident response, and ongoing reliability improvements - Experience using metrics, logs, traces, profiling, and experiments to understand production behavior and validate improvements - Strong written and verbal communication skills, including the ability to write clear technical designs and lead projects across team boundaries - Willingness to use AI-assisted engineering tools to accelerate development and investigation while remaining accountable for correctness, security, and design quality Nice-to-Have Skills - Professional experience with Rust or high-performance asynchronous systems - Experience with caches, HTTP proxies, CDNs, distributed storage, or latency-sensitive data-plane services - Experience analyzing memory use, disk I/O, resource contention, and tail latency in production systems - Experience building APIs or distributed control planes using event streaming, relational databases, or analytical data systems - Familiarity with Kubernetes, Kafka, PostgreSQL, ClickHouse, or similar infrastructure - Experience contributing to open-source software or leading multi-team engineering programs Compensation Compensation may be adjusted depending on work location and level. San Francisco Estimated Base salary $194,000 - $266,000. Seattle, Washington D.C., New York Estimated Base salary $185,000 - $254,000. Denver, Austin, Illinois, Atlanta Estimated Base salary $168,000 - $231,000. Equity This role is eligible to participate in Cloudflare’s equity plan. 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 Software Engineer - Distributed Systems
Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: - Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments - Write in Go, Java, Rust or C++, amongst other languages - Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components - Own meaningful parts of our service, have an impact, grow with the company Who You Are: - You have a BS/MS/PhD in a scientific field or equivalent experience - You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) - You have been exposed to working on problems (high durability / low latency /…) - You can get down to the low-level when needed - You care about simple designs and performance - You want to work in a fast, high-growth startup environment that respects its engineers and customers - You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how - You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output - Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products 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: - 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 Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. 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 .
Staff Software Engineer - CI Services
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 Developer Productivity group is responsible for making Stripe’s developers happy and productive. We work on tools, processes, and code refactoring to accelerate Stripe engineering as Stripe scales. We’re looking for people with an interest in building the tools to improve the day to day experience of Engineers in Stripe. The ideal candidate will have a passion for solving developer experience problems, and a pragmatic ability to ship results iteratively—powered by a mix of technical expertise across some or all of: language processing tools; version control systems; build systems; and distributed systems engineering. You’ll be working on a mix of engineer-facing systems, CI infrastructure platforms, and big-data engineering. What you’ll do We have a ton of important work to do, which is why we’re hiring! Our active projects change all the time, but here are a few examples of recent projects so you can get an idea of the types of work we do: - Build and manage systems to handle CI at massive scale—including batching, speculative stacking, merge-race inhibition, and more. - Build and manage systems to handle our enormous CI test suite–identifying and managing flaky tests, assessing and reproducing flakiness, and optimizing for test effectiveness. - Enhance our CI systems for reliability, including adaptive response to available capacity, resilience and self-recovery from outages, and highly-leveraged observability. - Detect and isolate code breakages to minimize their blast radius. - Work directly with product engineers to understand and deliver their productivity needs. Responsibilities - Scope and lead large technical projects with enormous impact for engineers within Stripe. - Design, build, and maintain the core CI systems used by all of Stripe’s engineering teams. - Scrutinize and reason clearly about the technology and architecture choices we make in building these products. In many cases, you will be the owner of these decisions. - Directly contribute to core interface design and write code. Serve as a role model for how great software should be written for Stripe as a whole. - Arbitrate critical decisions correctly that fully consider software best practices, Stripe system realities, and numerous stakeholders’ preferences and concerns. - Teach and mentor the next generation of technical leaders at Stripe. - Drive the effective and highly-leveraged use of AI-assisted implementation, ops, and delivery within the team. 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 - 10+ years of professional hands-on software development experience - Hands-on experience designing and building large scale distributed systems - A track record of technically mentoring junior and senior engineers Preferred qualifications - Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome - Demonstrated ability of defining & driving complex initiatives/projects across multiple teams - Proven success with cross-discipline and cross-team collaborations, possess strong conviction and courage skills - Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial - Related experience in the area of Developer Tooling, CI/CD or DevOps.
Distributed Systems 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. Available Locations: Bengaluru, India About the role We are looking for a talented Distributed Systems Engineer to join the Data Localization team. The team builds the infrastructure that enforces where customer data is stored, processed, and decrypted across one of the largest globally distributed edge networks in the world. The problem is not simply building fast, resilient distributed systems; it is building them with provable geographic boundaries that hold under failure, at the scale and reliability Cloudflare's customers depend on. You will work across the full stack in Go and Rust, from low-level policy enforcement and cryptographic key routing at the edge to customer-facing APIs and dashboards, on top of Cloudflare's existing infrastructure: the edge fleet, globally distributed key-value storage, Workers and Durable Objects, PostgreSQL, Kubernetes, and regional ClickHouse. Features ship end-to-end: you will own the design, implementation, rollout, and production operation of the systems you build. This is a good fit if you are drawn to problems where compliance correctness is a hard constraint and not just a quality goal, and where the failure modes you reason about have real consequences for customers operating under regulatory scrutiny. What you'll do 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. Responsibilities </h4>
Distributed Systems Engineer - Data Platform - Ana...
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 Available: Austin (US) About Role We are looking for experienced and highly motivated engineers to join our DATA Org and help build the future of data at Cloudflare. Our organisation is responsible for the entire data lifecycle - from ingestion and processing to storage and retrieval - powering the critical logs and analytics that provide our customers with real-time visibility into the health and performance of their online properties. Our mission is to empower customers to leverage their data to drive better outcomes for their business. We build and maintain a suite of high-performance, scalable systems that handle more than a billion events in a second. As an engineer in our organisation, you will have the opportunity to work on complex distributed systems challenges across different parts of our data stack. Our Data Organisation is strategically composed of several key teams, each focusing on a distinct aspect of our comprehensive data platform: - Data Delivery / Data Pipeline: This team is responsible for the design, development, and operation of our distributed data delivery pipeline. This system is a high-throughput, low-latency powerhouse, primarily written in Go, and is tasked with ingesting, processing, and intelligently routing massive volumes of data originating from across Cloudflare’s vast global network to multiple core destinations. This involves handling diverse data types and ensuring reliable, timely delivery to various downstream systems. - Analytical Database Platform: Engineers on this team contribute to and evolve our core analytical platform, which is powered by ClickHouse. This team is dedicated to building and maintaining a high-perform
Distributed Systems Engineer - Data Platform - Log...
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 Available: Austin (US) About Role We are actively seeking experienced and highly motivated Distributed Systems Engineers to join Cloudflare’s dynamic DATA Organisation. This is a pivotal opportunity to contribute to the future of data at Cloudflare, working on systems that are fundamental to our global operations and customer insights. Our organisation is responsible for the entire data lifecycle, encompassing everything from initial ingestion and sophisticated processing to robust storage and efficient retrieval. These systems are the backbone that power critical logs and analytics, providing our customers with real-time, actionable visibility into the health, performance, and security of their online properties. Our overarching mission is to empower customers to leverage their data effectively, enabling them to drive superior outcomes for their businesses. To achieve this, we design, build, and maintain a suite of high-performance, massively scalable distributed systems that are engineered to handle an unprecedented scale – processing well over a billion events per second. As an engineer within our organisation, you will be presented with unique challenges across various critical parts of our intricate data stack. This role offers the chance to work on cutting-edge technologies and contribute to solutions that operate at the very edge of internet infrastructure. Our Data Organisation is strategically composed of several key teams, each focusing on a distinct aspect of our comprehensive data platform: - Data Delivery / Data Pipeline: This team is responsible for the design, development, and operation of our distributed data delivery pipeline. This system is a high-throughput, low-latency powerhouse, primarily written in Go, and is tasked with ingesting, processing, and intelligently routing massive volumes of data originating from
Distributed Systems Engineer, Analytical Database...
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 Available: Austin (US) About Role We are looking for an experienced and highly motivated engineer to join our team and contribute to our analytical database platform. The platform is a critical component of Cloudflare Analytics which provides real-time visibility into the health and performance of Cloudflare customers' online properties. The team builds and maintains a high-performance, scalable database platform powered by ClickHouse, optimized for analytical workloads. We help our customers, both internal and external, to gain a deeper understanding of their online properties, identify trends and patterns, and make informed decisions about how to optimize their web performance, security, and other key metrics. Our mission is to empower customers to leverage their data to drive better outcomes for their business. As a Distributed systems engineer - Analytical Database Platform, you will: - Develop and implement new platform components for the Cloudflare Analytical Database Platform to improve functionality and performance. - Add more database clusters to accommodate the growing volume of data generated by Cloudflare products and services. - Monitor and maintain the performance and reliability of existing database platform clusters, and identify and troubleshoot any issues that may arise. - Work to identify and remove bottlenecks within the analytics database platform, including optimizing query performance and streamlining data ingestion processes. <li style="font-weig
Distributed Systems Engineer
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. This is an exciting opportunity for a software engineer passionate about open source software, Linux, and web services at scale. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing pre-IPO international software company. Canonical’s engineering team is at the forefront of the IoT revolution and aims to strengthen this position by developing cutting-edge telemetry and connectivity solutions. By integrating reliable, secure, and robust data streaming capabilities into the Snappy ecosystem, we are setting new standards in the industry for ease of development, implementation, management and security. We are seeking talented individuals to help us enhance our global SaaS services, providing customers with the essential data services needed to build the next generation of IoT devices effortlessly. Our commitment to data governance, ownership, and confidentiality is unparalleled, ensuring our customers can innovate with confidence on top of the globally trusted Ubuntu platform. Location: This role will be based remotely in the EMEA region. What your day will look like - Work remotely with a globally distributed team, driving technical excellence and fostering innovation across diverse engineering environments. - Design, architect, and build high-performance APIs to power streaming data services, ensuring seamless integration across teams and products using Python and Go. - Develop robust governance, auditing, and management systems within our advanced telemetry platform, ensuring security, compliance, and operational integrity. - Partner with our infrastructure team to build scalable cloud-based SaaS solutions while also delivering containerized on-prem deployments for enterprise customers. - Lead the design, implementation, and optimization of new features, taking projects from specification to production, ensuring operational excellence at scale. - Provide technical oversight, review code and designs, and set best practices to maintain engineering excellence. - Engage in high-level technical discussions, collaborating on optimal solutions with engineers, product teams, and stakeholders. - Work remotely with occasional global travel (2-4 weeks per year) for internal and external events, fostering deeper collaboration and knowledge-sharing. What we are looking for in you - You design and architect scalable backend services, messaging/data pipelines, and REST APIs using Go or Python, guiding best practices, technical direction, and system scalability. - You possess deep expertise in cybersecurity principles and proactively address the complex challenges of IoT environments: secure connectivity, data streaming, governance, and compliance. - You bring proven expertise in designing and optimizing systems using: - IAM models, encryption, access control, and compliance frame
Senior Distributed Systems Engineer
About IonQ: IonQ, Inc . [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. Location: This role is based onsite at our office in Santa Clara, CA. Travel: Up to 15% domestic or international. Job ID: 1722 The Role: We are looking for a deeply hands-on Senior Distributed Systems Engineer to join the team building IonQ’s Network and Security Platform. You will own the backend services — ingestion pipelines, telemetry processing, device management — that give operators real-time visibility into their networks and the intelligence to make them quantum-safe. This is infrastructure that matters: the systems you build will underpin IonQ’s mission to secure the world’s networks against quantum threats. In this role, you will own backend services end-to-end — from high-throughput ingestion pipelines collecting telemetry from large device fleets, to time-series storage, real-time processing engines, and the APIs that surface platform data to the rest of the organization. You are a deeply hands-on engineer who writes production-quality Go and/or Rust daily, takes pride in operational ownership, and brings strong distributed systems fundamentals to every problem you tackle. You will work closely with the Principal Architect to translate platform architecture decisions into reliable, well-tested, production-grade implementations. The ideal candidate has direct experience building data-intensive backend systems at scale — and is energized by the challenge of making complex infrastructure simple, observable, and dependable. Responsibilities : Backend Services & Production Code - Design and ship production backend services in Go and/or Rust, measured by code quality, test coverage, and on-time delivery of service milestones. - Build and maintain high-throughput telemetry ingestion pipelines using gNMI, NETCONF, and SNMP, ensuring reliable data collection across large device fleets. - Develop RESTful and gRPC APIs that expose platform data to internal consumers and external integrations, evaluated by uptime, latency SLAs, and adoption by downstream teams. Data Engineering & Storage - Implement and evolve the time-series storage layer (InfluxDB, TimescaleDB, or equivalent), optimizing for query performance, retention policies, and data fidelity under production load. - Build event streaming pipelines using Kafka or Kinesis with at-least-once or exactly-once semantics, validated through integration tests and production monitoring. - Design data partitioning and archival strategies that sustain target ingest volumes while meeting defined latency and durability SLAs. Platform Reliability & Operations - Own service reliability end-to-end — participate in on-call rotation, lead incident response, and drive systemic improvements tracked via post-mortems and reduction in repeat incidents. - Instrument all services with structured logging, distributed tracing, and metrics (OpenTelemetry, Prometheus) so that production issues can be diagnosed and resolved within defined SLOs. Cloud-Native Infrastructure - Package and deploy services as containerized workloads on Kubernetes, maintaining infrastructure-as-code (Terraform) across AWS, GCP, and Azure environments. - Contribute to multi-cloud deployment patterns that meet platform availability targets and data residency requirements. Collaboration & Engineering Quality - Partner with the Principal Architect to translate platform architecture decisions into tested, production-grade implementations with clear engineering specifications. - Lead code reviews and mentor junior engineers through pairing and technical guidance, raising the team’s overall bar for correctness and maintainability. Requirements: - 6+ years of backend software engineering experience, with a strong record of shipping production services at scale. - Proven, hands-on proficiency in Go and/or Rust — you write these languages regularly and can demonstrate production systems you have built with them. - Solid experience building and operating distributed data systems: event streaming (Kafka, Kinesis, or equivalent), time-series databases, and high-throughput ingestion pipelines. - Strong fundamentals in distributed systems: consistency models, failure modes, backpressure, idempotency, and exactly-once vs. at-least-once processing tradeoffs. - Experience with cloud-native deployment: containerization (Docker), Kubernetes orchestration, and operating services across at least one major cloud provider (AWS, GCP, or Azure). - Familiarity with observability tooling — structured logging, metrics (Prometheus/Grafana or equivalent), and distributed tracing (OpenTelemetry or equivalent). - Comfortable writing SQL and working with both relational and time-series data models; experience with schema design and query optimization. - Strong engineering practices: test-driven or test-informed development, code review, CI/CD, and operational ownership including on-call. Preferred Qualifications: - Experience with network telemetry protocols (gNMI, NETCONF, SNMP) or prior work at a network equipment vendor or network management platform company (e.g., Juniper, Cisco, Nokia). - Hands-on experience with graph databases or graph data models for network topology (e.g., Neo4j, Amazon Neptune, or custom adjacency representations). - Familiarity with YANG data modeling or prior experience working with device configuration schemas in network management contexts. - Experience building multi-tenant SaaS backend services with strong data isolation and per-tenant resource management. - Contributions to open-source infrastructure, observability, or networking projects; or published technical writing on distributed systems topics. - Experience working in or adjacent to regulated, security-conscious environments (FedRAMP, NIST, or equivalent). The approximate base salary range for this position is $163,430 - $213,972 . The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site. Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401(k), unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!
Senior Distributed Systems 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. Available Locations:Austin, US About the Role As a Senior Product Manager at Cloudflare, you will be responsible for building products that improve the way that the Internet works. Product Managers at Cloudflare shape high-level product goals but also get our hands dirty. On an average day, you might pitch a concept to senior leadership, collaborate with marketing, work with designers to conduct user research, prototype a new feature, iterate on a spec, analyze usage data, and pair with an engineer on implementation. Responsibilities As a product manager on the Enterprise Readiness team, you will be responsible for helping to build the capabilities that our largest customers demand that will help them effectively scale their use of Cloudflare. You will: - Own your space. You will own the priorities and scope for a high performing engineering team focusing on organizations and partners. - The Product Manager role requires deep familiarity with the Terraform SDK - A significant challenge in this role is navigating the tension between enterprise requirements and simplicity for individual users, a friction point that requires careful design decisions - The position involves leading API design reviews, determining best practices for company-wide implementation, such as pagination, versioning, and deprecation - The job demands a 50/50 balance between building a personal roadmap and convincing other product managers to adopt a unified API standard - The Product Manager will primarily engage with practitioners, including platform engineers , DevOps professionals, and enterprise architects , rather than executive leadership Desirable Skills, Knowledge, and Experience - 6+ years of experience as a product manager, technical program manager, or equivalent delivering solutions in the cloud at scale for a technical audience - Customer focus. At Cloudflare, we serve the needs of customers large and small, and our product managers need to be comfortable understanding how to design for enterprises without compromising the experience for individuals and small businesses. - User experience sense. You’re comfortable working with product designers to translate the requirements into an elegant user experience. - Strong written and verbal communication skills for both an internal and external audience as appropriate. Bonus Points - You’ve enthusiastically adopted the latest generation of agentic coding tools, and you can use them effectively to navigate a codebase, or prototype the improvements you envision for your feature area. - Data-fluency - Can you work directly with data yourself to build confidence in your views and can you use that same data to persuade others? - Engineering fluency - while it’s not required, we tend to find success with candidates who have a technical background, formal or otherwise. You don’t need a CS degree but building credibility with our engineering teams is critical and so some history of technical acumen would be super helpful - At Cloudflare it’s pretty helpful to understand how the Internet really works at layers 2 through 7. If you don’t have this, be prepared to speak with mastery about another realm of similar complexity. 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.
Software Engineer, Distributed Systems
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! At Figma, infrastructure is at the heart of everything we build. As a Software Engineer on our Infrastructure team, you’ll help design, build, and operate the systems that power our real-time collaborative design tools used by millions of people worldwide. We’re scaling fast, and we’re looking for experienced distributed systems engineers across a variety of teams. Whether you’re passionate about storage, compute orchestration, developer tooling, networking, or real-time data systems, this role offers an opportunity to shape the technical foundation of one of the most beloved design platforms in the world. This is a full time role that can be held from one of our US hubs or remotely in the United States. What You’ll Do at Figma: - Design, build, and maintain scalable and reliable infrastructure systems that support product innovation and user collaboration at scale. - Architect and evolve distributed systems including storage platforms, streaming infrastructure, and compute orchestration. - Improve developer experience by building internal platforms, CI/CD systems, build tools, and APIs. - Collaborate across product and infrastructure teams to design secure, maintainable, and performant systems. - Participate in shaping platform strategy, roadmaps, and engineering best practices across the organization. - Debug and resolve complex production issues that span services and layers of the stack. - Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence. We’d Love to Hear From You If You Have: - 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering.. - Deep understanding of distributed systems concepts such as sharding, replication, consistency, and eventual convergence. - Experience with cloud-native environments (AWS, GCP, or Azure), infrastructure-as-code, and container orchestration. - Proficiency in languages such as Go, TypeScript, Python, Rust, or Ruby. - Strong system design skills and a track record of architecting resilient production systems. - Excellent communication skills, with experience collaborating across teams and mentoring others. While it’s not required, it’s an added plus if you also have: - Experience scaling storage platforms (e.g., Postgres, Redis, S3, DynamoDB) or operating streaming systems like Kafka. - Background in traffic management, DDoS mitigation, or service mesh technologies (e.g., Envoy, Istio). - A history of developing complex, realtime distributed systems at scale. - A passion for building developer productivity tools, including development environments, CI/CD pipelines, and build systems. - Experience with evolving large-scale, shared developer platforms to improve reliability and developer velocity. - Strong problem-solving skills and a bias
Senior Software Engineer - Distributed Systems
Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: - Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments - Write in Go, Java Rust or C++, amongst other languages - Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components - Own meaningful parts of our service, have an impact, grow with the company Who You Are: - 6+ years of experience - You have a BS/MS/PhD in a scientific field or equivalent experience - You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) - You have been exposed to working on problems (high durability / low latency /…) - You can get down to the low-level when needed - You care about simple designs and performance - You want to work in a fast, high-growth startup environment that respects its engineers and customers - You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output. - Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government. 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:
Distributed Systems Engineer, Analytical Database...
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 Available: Austin (US) About Role We are looking for an experienced and highly motivated engineer to join our team and contribute to our analytical database platform. The platform is a critical component of Cloudflare Analytics which provides real-time visibility into the health and performance of Cloudflare customers' online properties. The team builds and maintains a high-performance, scalable database platform powered by ClickHouse, optimized for analytical workloads. We help our customers, both internal and external, to gain a deeper understanding of their online properties, identify trends and patterns, and make informed decisions about how to optimize their web performance, security, and other key metrics. Our mission is to empower customers to leverage their data to drive better outcomes for their business. As a Distributed systems engineer - Analytical Database Platform, you will: - Develop and implement new platform components for the Cloudflare Analytical Database Platform to improve functionality and performance. - Add more database clusters to accommodate the growing volume of data generated by Cloudflare products and services. - Monitor and maintain the performance and reliability of existing database platform clusters, and identify and troubleshoot any issues that may arise. - Work to identify and remove bottlenecks within the analytics database platform, including optimizing query performance and streamlining data ingestion processes. <li style="font-weig
Distributed Systems Engineer - Data Platform (Deli...
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 Available: Austin (US) About Role We are looking for experienced and highly motivated engineers to join our DATA Org and help build the future of data at Cloudflare. Our organisation is responsible for the entire data lifecycle - from ingestion and processing to storage and retrieval - powering the critical logs and analytics that provide our customers with real-time visibility into the health and performance of their online properties. Our mission is to empower customers to leverage their data to drive better outcomes for their business. We build and maintain a suite of high-performance, scalable systems that handle more than a billion events in a second. As an engineer in our organisation, you will have the opportunity to work on complex distributed systems challenges across different parts of our data stack. Our Data Org is composed of several key teams, and you could contribute to any of the following areas: - Data Delivery: You will build and operate our distributed data delivery pipeline, a high-throughput, low-latency system (primarily written in Go) responsible for ingesting, processing, and routing massive volumes of data from across Cloudflare's global network to multi-core destination. - Analytical Database Platform: Contribute to our core analytical platform powered by ClickHouse. This team builds and maintains a high-performance, scalable database platform optimised for the immense analytical workloads generated by our products and services. - Data Retrieval: Be responsible for building the customer-facing products that make data accessible and actionable. This includes deve
Distributed Systems Engineer - Data Platform - Log...
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 Available: Austin (US) About Role We are actively seeking experienced and highly motivated Distributed Systems Engineers to join Cloudflare’s dynamic DATA Organisation. This is a pivotal opportunity to contribute to the future of data at Cloudflare, working on systems that are fundamental to our global operations and customer insights. Our organisation is responsible for the entire data lifecycle, encompassing everything from initial ingestion and sophisticated processing to robust storage and efficient retrieval. These systems are the backbone that power critical logs and analytics, providing our customers with real-time, actionable visibility into the health, performance, and security of their online properties. Our overarching mission is to empower customers to leverage their data effectively, enabling them to drive superior outcomes for their businesses. To achieve this, we design, build, and maintain a suite of high-performance, massively scalable distributed systems that are engineered to handle an unprecedented scale – processing well over a billion events per second. As an engineer within our organisation, you will be presented with unique challenges across various critical parts of our intricate data stack. This role offers the chance to work on cutting-edge technologies and contribute to solutions that operate at the very edge of internet infrastructure. Our Data Organisation is strategically composed of several key teams, each focusing on a distinct aspect of our comprehensive data platform: - Data Delivery / Data Pipeline: This team is responsible for the design, development, and operation of our distributed data delivery pipeline. This system is a high-throughput, low-latency powerhouse, primarily written in Go, and is tasked with ingesting, processing, and intelligently routing massive volumes of data originating from
Distributed Systems Engineer
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. This is an exciting opportunity for a software engineer passionate about open source software, Linux, and web services at scale. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing pre-IPO international software company. Canonical’s engineering team is at the forefront of the IoT revolution and aims to strengthen this position by developing cutting-edge telemetry and connectivity solutions. By integrating reliable, secure, and robust data streaming capabilities into the Snappy ecosystem, we are setting new standards in the industry for ease of development, implementation, management and security. We are seeking talented individuals to help us enhance our global SaaS services, providing customers with the essential data services needed to build the next generation of IoT devices effortlessly. Our commitment to data governance, ownership, and confidentiality is unparalleled, ensuring our customers can innovate with confidence on top of the globally trusted Ubuntu platform. Location: This role will be based remotely in the EMEA region. What your day will look like - Work remotely with a globally distributed team, driving technical excellence and fostering innovation across diverse engineering environments. - Design, architect, and build high-performance APIs to power streaming data services, ensuring seamless integration across teams and products using Python and Go. - Develop robust governance, auditing, and management systems within our advanced telemetry platform, ensuring security, compliance, and operational integrity. - Partner with our infrastructure team to build scalable cloud-based SaaS solutions while also delivering containerized on-prem deployments for enterprise customers. - Lead the design, implementation, and optimization of new features, taking projects from specification to production, ensuring operational excellence at scale. - Provide technical oversight, review code and designs, and set best practices to maintain engineering excellence. - Engage in high-level technical discussions, collaborating on optimal solutions with engineers, product teams, and stakeholders. - Work remotely with occasional global travel (2-4 weeks per year) for internal and external events, fostering deeper collaboration and knowledge-sharing. What we are looking for in you - You design and architect scalable backend services, messaging/data pipelines, and REST APIs using Go or Python, guiding best practices, technical direction, and system scalability. - You possess deep expertise in cybersecurity principles and proactively address the complex challenges of IoT environments: secure connectivity, data streaming, governance, and compliance. - You bring proven expertise in designing and optimizing systems using: - IAM models, encryption, access control, and compliance frame
Distributed Systems Engineer - Data Platform - Ana...
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 Available: Austin (US) About Role We are looking for experienced and highly motivated engineers to join our DATA Org and help build the future of data at Cloudflare. Our organisation is responsible for the entire data lifecycle - from ingestion and processing to storage and retrieval - powering the critical logs and analytics that provide our customers with real-time visibility into the health and performance of their online properties. Our mission is to empower customers to leverage their data to drive better outcomes for their business. We build and maintain a suite of high-performance, scalable systems that handle more than a billion events in a second. As an engineer in our organisation, you will have the opportunity to work on complex distributed systems challenges across different parts of our data stack. Our Data Organisation is strategically composed of several key teams, each focusing on a distinct aspect of our comprehensive data platform: - Data Delivery / Data Pipeline: This team is responsible for the design, development, and operation of our distributed data delivery pipeline. This system is a high-throughput, low-latency powerhouse, primarily written in Go, and is tasked with ingesting, processing, and intelligently routing massive volumes of data originating from across Cloudflare’s vast global network to multiple core destinations. This involves handling diverse data types and ensuring reliable, timely delivery to various downstream systems. - Analytical Database Platform: Engineers on this team contribute to and evolve our core analytical platform, which is powered by ClickHouse. This team is dedicated to building and maintaining a high-perform
Senior Software Engineer - Distributed Systems
Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: - Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments - Write in Go, Java Rust or C++, amongst other languages - Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components - Own meaningful parts of our service, have an impact, grow with the company Who You Are: - 6+ years of experience - You have a BS/MS/PhD in a scientific field or equivalent experience - You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) - You have been exposed to working on problems (high durability / low latency /…) - You can get down to the low-level when needed - You care about simple designs and performance - You want to work in a fast, high-growth startup environment that respects its engineers and customers - You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output. - Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government. 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:
Software Engineer - Distributed Systems, Compute P...
Our team is on a mission to build innovative infrastructure and tools to help other engineers be more productive and make software easier to create, build, and distribute. We believe that streamlining software engineering is an important part of unlocking developer creativity and innovation, and we love it when Apple customers see that in the products we ship. We are looking for distributed systems engineers to join our efforts. \\n\\nOur team works on evolving a set of innovative distributed…
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