Datadog

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:

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset. The Logs family of products represents a strategic evolution in how organizations manage and analyze logs at scale while meeting stringent data residency, compliance, and cost requirements. The Product Solutions Architect (PSA) will work closely with Datadog customers, Logs Product team, and the CloudPrem product team to architect, implement best practices, and drive adoption of the log management suite. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Serve as the Product Expert on Logs, CloudPrem, and Observability Pipelines - Offer guidance on architecture choices, data collection, and best practices to large Enterprise customers as they adopt these Datadog services across the organization at scale - Design and validate hands-on, production-ready architectures spanning cloud infrastructure, Kubernetes platforms, and customer-managed environments - Actively identify opportunities to simplify, optimize, and standardize deployment patterns , reducing operational complexity for customers through architectural guidance and best practices. - Be a Trusted Advisor to Product Management by providing high quality feedback based on your field experience working closely with our Support, Partners, and Customers - Capture repeat customer use cases and solutions and in turn publish Reference Architectures, automation patterns, and Implementation Guides for Datadog prospect and customer consumption - Build world class training material, solutions briefs, blogs, and documentation to the wider Datadog field technical teams over the latest product features and capabilities - Collaborate with other teams at Datadog including Marketing, Sales, Community, Documentation, and Evangelism to ensure the success of the Log Management product family - Exercise the products you represent by building hands-on proof of concepts, small scale deployments to validate solutions and reproduce customer environments - Engage deeply with customers, feeling their operational pain points and driving solutions that measurably improve reliability, scalability, and day-to-day operations Who You Are: - Someone with strong hands-on experience with tools such as Kubernetes, including cluster architecture, networking, storage, and operational best practices. - Someone with strong knowledge of cloud infrastructure fundamentals, including networking, compute, storage, and distributed system design. - Someone familiar with Security, Governance, and Compliance requirements for industry verticals - Someone who can dive deep into our Codebase, SDKs, and GitHub workflows to understand, debug, and influence product behavior - Experience with languages like Python and/or Rust, and file formats such as JSON and YAML - A self-starter, tech-savvy pr

As a Research Engineer on our team, you will partner with Research Scientists to turn research ideas into working systems, building the data, tooling, and infrastructure that enable rapid iteration, trustworthy evaluation, and a smooth path from prototype to production. Building on our track record of AI-powered solutions (e.g., Bits AI , Bits Evolve , and our time series foundation model ), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. We are focused on two research areas: - World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. - Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: - Build and operate multimodal data pipelines, training and evaluation infrastructure, benchmarks, and internal tooling - Implement models, run experiments at scale, and profile for reliability, performance, and cost - Build simulation environments and replay infrastructure for agent training and evaluation - Orchestrate distributed training and distributed RL with Ray, including scheduling, scaling, and failure recovery - Establish rigorous automated benchmarks and regression tests for world model predictions, agent performance, and simulation fidelity - Collaborate with Research Scientists, Product, and Engineering to integrate capabilities into Datadog's products and to harden prototypes into reliable services - Contribute to research publications at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and produce high-quality code, documentation, and open-source artifacts Who You Are: - You have depth in distributed computing, RL Infra, and ML systems for training and inference at scale; experience with Ray, Slurm, or similar frameworks is a plus - You are proficient in Python, familiar with a systems language (e.g., Rust, C++, or Go), and comfortable with modern cloud and data infrastructure - You have practical experience implementing and operating ML training and inference systems (e.g., PyTorch or JAX), including containerization, orchestration, and GPU acceleration - You have practical experience with large-scale model training and fine-tuning, including

We are looking for a senior software engineer to join our new Community Open Source Engineering team focused on growing the Quickwit OSS community and helping steer the quickwit-oss collection of projects. You will play a key role in evolving quickwit & tantivy , ensuring community happiness, optimizing the release process and operations, among other responsibilities. This is a hybrid role, primarily focused on software engineering, with a crucial component dedicated to technical writing, including producing blog posts and technical guides. Community Open Source Engineering is responsible for fostering engagement and guiding development of Datadog's open source projects outside of the core product and security research areas. The team ensures these projects deliver value to both the open source community and the company by prioritizing community engagement, maintaining software quality and security, and strategically developing new features. As a member of a small team, you'll play a crucial role in shaping the future of Community Open Source Engineering and have a significant impact on the team's direction. What you'll do - Assist with managing the Quickwit community by: - reviewing external contributions and ensuring codebase quality - triaging reported GitHub issues - answering questions on GitHub Discussions - Help define the project governance. Establish contribution guidelines and continuously improve processes to minimize friction for all stakeholders. - Collect data to assess project health and usage, identifying areas for improvement. - Actively evangelize Quickwit to expand its reach and impact. - Design and implement highly requested features to advance the Quickwit and tantivy roadmaps. - Propose and implement architectural changes that facilitate contributions and reduce maintenance burdens. - Design and implement highly requested features to advance the Quickwit and tantivy roadmaps. Who you are - You are passionate in engaging with a community of open source users and contributors - You ship fast, overcome blockers with a practical mindset, and cut through ambiguity - You have at least 3 years of systems-level programming experience (Rust, C++, Go, or a similar language) - You are a proficient written communicator, with the ability to clearly articulate thoughts across a team - You are passionate about developer experience and reducing friction for maintainers and contributors - You have experience with GitHub Actions and/or release management for complex software projects - You've worked on extract-transform-load tools or stream processing systems 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 network

As a Cloud Security Engineer you will partner with different stakeholders across the organization to secure our cloud infrastructure. As part of the Platform Security organization we secure the building blocks of Datadog’s applications and infrastructure. We do this by building solutions to solve systemic risks and combine an approach of making the secure path easier and the insecure path harder to secure and accelerate the business. We regularly partner with the most bleeding edge internal products and are working to solve and build solutions to enable our safe usage of AI. We also develop AI based solutions to enable security at scale. We are looking for a Service Mesh and Kubernetes focused security specialist to help round out an incredibly strong infrastructure security focused group. You will rotate through a variety of internal projects and gain deep exposure to Datadog’s infrastructure. 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: - Solve our most challenging cloud infrastructure security problems starting with our core building blocks and golden paths. - Enable our engineers to build and ship secure solutions quickly. - Build and extend Datadog’s Platform Security solutions. - Leverage and influence the direction of Datadog’s <u data-prosemirror-content-type="mark" data-prosemi

As a Staff Application Security Engineer at Datadog, you'll set technical direction for how we approach application security at scale. You'll define the frameworks, methodologies, and architectural patterns that engineering teams across Datadog adopt and apply independently. You're the person others come to when they don't know how to make something secure, and you reliably have an answer. You'll be a point of contact for our most complex security programs, often spanning multiple teams and multiple quarters. The role requires both depth (going very deep on specific problems when needed) and breadth (recognizing patterns across systems and drawing connections that others miss). Partnering closely with teams inside and outside the security org is key to success. You'll help shape the AppSec roadmap and make the case for where investment should go. We use our own platform. Logs, Dashboards, Service Catalog, and APM aren't just things we sell: they're tools the AppSec team uses to build security services, measure adoption of secure defaults, and communicate risk across the organization. AI is also part of the picture. Engineering at Datadog increasingly uses agentic tooling throughout the development lifecycle, and many of the products we ship to customers now include AI-powered features. Both create new attack surfaces, and defining our strategy for addressing them is part of this role. If using Datadog to observe Datadog's own security posture, building impactful tooling, and shaping how we secure AI-powered systems sounds like the right kind of problem, this role is worth a close look. What You’ll Do: - Define and drive security standards and secure-by-default solutions, serving as the Application Security subject matter expert. - Build security tooling and automation that scales security practices across engineering teams, and implement robust security observability to support our threat detection team with meaningful, actionable security signals. - Lead threat modeling and risk assessment for high-risk features and platform changes. - Assess and address security risks introduced by agentic development practices and AI-powered product features in production - Partner with engineering teams to prioritize and remediate critical threats, define API security standards, and conduct security code reviews. - Identify systemic security risks; lead complex, multi-team remediation efforts end-to-end - Partner with Cloud & Infrastructure Security and other teams across the org on cross-domain problems; be the AppSec point of contact on complex cross-domain problems - Serve as the AppSec subject matter expert across Datadog; be the person engineering leadership calls when they need clarity on a hard security problem - Deeply invest in the growth of AppSec engineers on the team <strong data-renderer-mark="tru

Role Summary: Datadog is seeking a Staff Software Engineer to help shape the future of our Bring Your Own Cloud (BYOC) Logs offering by unifying observability pipelines with log management software that customers deploy and manage in their own infrastructure. This role will focus on building and scaling systems that process, route, and store high-volume observability data within customer-managed infrastructure. You will operate as a hands-on technical leader, driving architecture, cross-team delivery, and product direction across a complex and evolving space. This is a high-impact opportunity to influence product strategy, mentor engineers, and solve deeply technical challenges at scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Make customer-controlled deployments feel like a managed Datadog product: deployment, upgrades, configuration, observability, diagnostics, reliability, and secure operation across diverse customer cloud environments - Build and scale high-throughput systems for log processing, routing, and transformation across distributed environments - Lead cross-team initiatives, aligning engineers, product managers, and stakeholders to deliver complex, multi-team projects - Design and implement software that runs reliably that customers deploy and operate within their own cloud infrastructure. - Improve system performance, scalability, and cost efficiency through thoughtful trade-off analysis and capacity planning - Contribute hands-on to critical code paths, debugging, and deployment challenges in customer environments Who You Are: - You have significant experience building software that is installed, deployed, and operated in customer environments rather than only as a fully managed SaaS service. - You have strong expertise in distributed systems, including scalability, performance optimization, and high-throughput data processing - You are proficient in systems-level programming (e.g., Go, Rust, or C++) and understand how software runs across diverse environments (e.g., Linux systems) - You have experience with cloud platforms (e.g., AWS, Azure, or GCP) and are comfortable troubleshooting infrastructure and networking issues - You are experienced with containerization and orchestration technologies such as Kubernetes in production environments - You have a track record of leading large, cross-functional engineering efforts and influencing technical direction across teams 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: - Generous and competitive benefits package - New hire stock equity (RSUs) and employee stock purchase plan - Continuous career development and pathing opportunities - Employee-focused best in class onboarding - Internal mentor and cross-departmental buddy program - Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employ

As a Research Engineer on our team, you will partner with Research Scientists to turn research ideas into working systems, building the data, tooling, and infrastructure that enable rapid iteration, trustworthy evaluation, and a smooth path from prototype to production. Building on our track record of AI-powered solutions (e.g., Bits AI , Bits Evolve , and our time series foundation model ), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. We are focused on two research areas: - World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. - Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: - Build and operate multimodal data pipelines, training and evaluation infrastructure, benchmarks, and internal tooling - Implement models, run experiments at scale, and profile for reliability, performance, and cost - Build simulation environments and replay infrastructure for agent training and evaluation - Orchestrate distributed training and distributed RL with Ray, including scheduling, scaling, and failure recovery - Establish rigorous automated benchmarks and regression tests for world model predictions, agent performance, and simulation fidelity - Collaborate with Research Scientists, Product, and Engineering to integrate capabilities into Datadog's products and to harden prototypes into reliable services - Contribute to research publications at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and produce high-quality code, documentation, and open-source artifacts Who You Are: - You have depth in distributed computing, RL Infra, and ML systems for training a

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset. The Logs family of products represents a strategic evolution in how organizations manage and analyze logs at scale while meeting stringent data residency, compliance, and cost requirements. The Product Solutions Architect (PSA) will work closely with Datadog customers, Logs Product team, and the CloudPrem product team to architect, implement best practices, and drive adoption of the log management suite. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Serve as the Product Expert on Logs, CloudPrem, and Observability Pipelines - Offer guidance on architecture choices, data collection, and best practices to large Enterprise customers as they adopt these Datadog services across the organization at scale - Design and validate hands-on, production-ready architectures spanning cloud infrastructure, Kubernetes platforms, and customer-managed environments - Actively identify opportunities to simplify, optimize, and standardize deployment patterns , reducing operational complexity for customers through architectural guidance and best practices. - Be a Trusted Advisor to Product Management by providing high quality feedback based on your field experience working closely with our Support, Partners, and Customers - Capture repeat customer use cases and solutions and in turn publish Reference Architectures, automation patterns, and Implementation Guides for Datadog prospect and customer consumption - Build world class training material, solutions briefs, blogs, and documentation to the wider Datadog field technical teams over the latest product features and capabilities - Collaborate with other teams at Datadog including Marketing, Sales, Community, Documentation, and Evangelism to ensure the success of the Log Management product family - Exercise the products you represent by building hands-on proof of concepts, small scale deployments to validate solutions and reproduce customer environments - Engage deeply with customers, feeling their operational pain points and driving solutions that measurably improve reliability, scalability, and day-to-day operations Who You Are: - Someone with strong hands-on experience with tools such as Kubernetes, including cluster architecture, networking, storage, and operational best practices. - Someone with strong knowledge of cloud infrastructure fundamentals, including networking, compute, storage, and distributed system design. - Someone familiar with Security, Governance, and Compliance requirements for industry verticals - Someone who can dive deep into our Codebase, SDKs, and GitHub workflows to understand, debug, and influence product behavior - Experience with languages like Python and/or Rust, and file formats such as JSON and YAML - A self-starter, tech-savvy pr

Datadog is committed to open source. It starts with our Agent, tracers, libraries, and SDKs all being open source. But it goes so much further. From open standards to open collaboration, it’s a core part of who we are and what we do. As part of the Open Source Program Office (OSPO), you will be focusing on building tools, documentation, policies, etc. that improve how our engineers interact with Open Source projects (our own and third-party projects), as well as representing Datadog in Open Source communities. What You’ll Do: - Build and maintain tools that ease building and releasing Open Source software at Datadog - Build and maintain tools that ease ingesting Open Source software at Datadog - Create developer facing documentation and training materials around contributing to open source and maintaining open source projects - Interface with open source communities to understand problems and trends in the market - Create tools to automatically analyze and report on Open Source repositories trends and statistics - Interface with Datadog Open Source Partners candidates and recipients to select new projects for the program and ensure that the program stays useful - Research and write content for the Datadog Open Source Hub - Contribute to the product through feedback (bugs or product enhancements suggestions), documentation, or code Who You Are: - Approximately 3+ years of experience as a software developer, SRE, or other practitioner. - You are fluent in reading and writing one or more languages, e.g. Python, JavaScript, Java, Go, C#, Rust, and so on. - You love building tools that make other engineers more productive. - You have empathy, collaboration, and communication skills to cultivate strong relationships across various teams in the organization. - Bonus: You are (or have been) an active member of an open source community. - Bonus: You are familiar with different Open Source licenses and Contributor License Agreements 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

Datadog is committed to open source. It starts with our Agent, tracers, libraries, and SDKs all being open source. But it goes so much further. From open standards to open collaboration, it’s a core part of who we are and what we do. As part of the Open Source Program Office (OSPO), you will be focusing on building tools, documentation, policies, etc. that improve how our engineers interact with Open Source projects (our own and third-party projects), as well as representing Datadog in Open Source communities. What You’ll Do: - Build and maintain tools that ease building and releasing Open Source software at Datadog - Build and maintain tools that ease ingesting Open Source software at Datadog - Create developer facing documentation and training materials around contributing to open source and maintaining open source projects - Interface with open source communities to understand problems and trends in the market - Create tools to automatically analyze and report on Open Source repositories trends and statistics - Interface with [Datadog Open Source Partners] ( Datadog for Open Source Projects | Datadog ) candidates and recipients to select new projects for the program and ensure that the program stays useful - Research and write content for the [Datadog Open Source Hub] ( Open Source Hub ) - Contribute to the product through feedback (bugs or product enhancements suggestions), documentation, or code Who You Are: - Approximately 3+ years of experience as a software developer, SRE, or other practitioner. - You are fluent in reading and writing one or more languages, e.g. Python, JavaScript, Java, Go, C#, Rust, and so on. - You love building tools that make other engineers more productive. - You have empathy, collaboration, and communication skills to cultivate strong relationships across various teams in the organization. - Bonus: You are (or have been) an active member of an open source community. - Bonus: You are familiar with different Open Source licenses and Contributor License Agreements 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 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: $153,000 - $187,000 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 .