At Docker, we simplify the lives of developers who are making world-changing apps. Docker helps developers bring their ideas to reality by conquering the complexity of app development. We simplify and accelerate workflows with an integrated development pipeline and application components. Actively used by millions of developers around the world, Docker Desktop and Docker Hub provide unmatched simplicity, agility and choice.

docker,-inc

<h2>About Docker</h2>Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default._______________________________________________________________________<h2>About the role</h2>Docker helps developers build, share, and run software with confidence. As AI agents take on more of the development workflow, we’re extending that mission: giving developers the freedom to work with powerful agents in sandboxed environments, with the isolation and controls organizations need to adopt them safely.We’re looking for a Product Manager, AI Gateway to help make secure model access a seamless part of that experience. Sandboxes establish boundaries around where agents execute; the gateway addresses how those agents connect to AI models. You’ll shape experiences that make it easy to get started while giving organizations control over model access, credentials, sensitive data, and usage.This role is about making safety and developer productivity reinforce each other. You’ll partner closely with the Sandboxes team, engineering, design, and customers to turn complex infrastructure and security requirements into intuitive workflows, from a developer’s first sandboxed agent session to organization-wide adoption. You’ll own the gateway’s product direction, balancing choice and interoperability with governance, reliability, and cost.<h2>What you’ll do</h2><ul style="min-height:1.5em"><li>Own product strategy and prioritization. Define the vision, roadmap, and success measures for the gateway, balancing developer adoption with enterprise requirements.</li><li>Understand developers and enterprise customers. Work directly with developers, AI teams, platform engineers, and security stakeholders to uncover needs, validate solutions, and guide investment.</li><li>Make secure onboarding simple. Improve the journey from launching a sandbox and authenticating to connecting an agent, selecting a model, and completing the first useful task.</li><li>Build a cohesive developer experience. Partner with engineering and design on APIs, CLI tools, administration experiences, documentation, and integrations with AI coding tools.</li><li>Shape model access and interoperability. Work directly with inference providers to evaluate model capabilities, plan integrations, and align on capacity, reliability, and pricing. Prioritize model discovery and compatibility so customers can adopt new models without unnecessary integration work.</li><li>Define enterprise safety and governance experiences. Translate requirements for identity, access management, credential protection, policy enforcement, and auditability into clear, usable capabilities.</li><li>Guide reliability and cost-management decisions. Define traffic balancing, routing, and fallback strategies across multiple inference providers, balancing model quality, latency, availability, and cost. Own inference cost-management priorities, including usage visibility, budgets, and spend optimization.</li><li>Drive execution and launches. Write focused product requirements, make explicit tradeoffs, and partner with customer-facing teams on positioning, onboarding, release readiness, and continuous learning.</li></ul><h2>Qualifications</h2><ul style="min-height:1.5em"><li>10+ years of product management experience, with experience building developer tools, infrastructure, security, or platform products.</li><li>Demonstrated success taking a product from concept to launch, including validating customer demand, defining the initial scope, and driving adoption after release.</li><li>Strong technical background, through software engineering experience or ownership of deeply technical products. You can evaluate API designs, understand system architecture, and make informed tradeoffs with engineering.</li><li>Hands-on experience with AI tools and agent workflows, and an informed perspective on the challenges of giving agents secure access to models, tools, and data.</li><li>Strong product judgment and analytical skills, with examples of using customer research and product data to prioritize investments and measure results.</li><li>Excellent written communication and cross-functional leadership, with a track record of aligning engineering, design, and go-to-market teams around a clear strategy and delivering in ambiguous, fast-moving environments.</li></ul>Docker does not offer visa sponsorship for this role.<div style="min-height:1.2em;margin-top:0px;margin-bottom:0px"> </div>Compensation &amp; EquityUnited States: $280,000 – $300,000 + equity______________________________________________________________________<h2>Posting Information</h2><ul style="min-height:1.5em"><li>Open vacancy: This posting is for an existing open role.</li><li>AI in hiring: Docker may use AI-assisted tools during our recruiting process.</li><li>Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.</li></ul>______________________________________________________________________<h2>Perks &amp; Benefits</h2><ul style="min-height:1.5em"><li>Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.</li><li>Flexibility that fits your life – We trust you to manage your schedule while delivering great work.</li><li>Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.</li><li>Home office support – Set up your workspace for comfort and success.</li><li>Technology stipend – Equivalent to US$100 net per month to help support your work.</li><li>Learning &amp; development – Annual stipend for conferences, courses, certifications, and continued learning.</li><li>Parental leave – 16 weeks of paid parental leave after six months of employment.</li><li>Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.</li><li>Comprehensive benefits – Medical, retirement, and paid holidays vary by country.</li><li>Docker swag – Because representing the whale never gets old.</li></ul>Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.#LI-REMOTE

Principal Product Manager, AI Gateway

<h2>About Docker</h2>Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default._______________________________________________________________________The Products Team at Docker is looking for a Principal Product Manager for our core Sandbox platform. You will own and drive an investment and product area from high-level concept design to delivery and operation. You will help shape the future of a key area of Docker. You will work closely with developers inside and outside of Docker, our customers, as well as our partners to expand our open ecosystem offering and provide value. As the company and ecosystem grows, you will help to foster teams eager to continuously build, measure, and learn.To thrive in this role, you’ll need experience working with developers and a technical knowledge of developer tools. You’ll need to know how to work with the developer community and understand the lifecycle of software development, the software supply chain and how AI agents are safely orchestrated and deployed with sandboxes. You’ll need a relentless drive to try new things, and an eye for detail. Your long-term success will depend on your ability to own the product roadmap and collaborate with the developer community, and scale our services. Most importantly, you’ll need to be okay with taking ownership of big objectives with big goals, working with a cross-functional team, and maintaining a bias for action.<h1>Responsibilities</h1><ul style="min-height:1.5em"><li>You own a product area, the long-term vision, the roadmap, the revenue, and the results.</li><li>You believe in and can articulate succinctly, our customers and their pain points. You empathize and understand the world they live in and the constraints they work through.</li><li>You will engage deeply with developers and find amazing solutions that solve today's problems while optimizing for tomorrow's vision.</li><li>You enjoy building products that are easy to adopt and use. You have a keen design sensibility, and you are always looking for ways to improve the usability of your products.</li><li>You are comfortable with ambiguity and will guide product definition, feature prioritization, and scope, in concert with cross functional teams.</li><li>You’re a fan of iterative development, working with our customers as well as cross-functional teams to hypothesize, measure impact, and learn from previous releases to iterate on future roadmap plans.</li></ul><h1>Qualifications</h1><ul style="min-height:1.5em"><li>You have deep empathy for the needs of developers and are obsessed with talking to your users.</li><li>You have created and deployed AI agents at scale and dealt with all the challenges and pain points of such tasks</li><li>You are comfortable interacting with a command-line interface.</li><li>You have experience building B2B, SaaS or have a background in Public Cloud</li><li>You have experience working with tools in the software supply chain and/or software security</li><li>You can break down complex technical problems into small, release-able, user valuable features.</li><li>You can explain complex ideas simply and communicate across diverse stakeholders.</li><li>You have effective written, verbal, and visual communication skills.</li><li>You can analyze data, both qualitative and quantitative, to inform decision making.</li><li>You have a collaborative approach and ability to work with fast moving, distributed, cross-functional teams.</li><li>You have experience running products at various stages of maturity, from legacy to greenfield.</li><li>You are a doer as well as a strategist. We are small and need all hands on deck.</li></ul><h2>What to expect First 30 days</h2><ul style="min-height:1.5em"><li>Get to know Docker! Vision, mission, values</li><li>Understand the team and business unit’s mission</li><li>Meet the team along with peers across the business unit and company</li><li>Work closely with designers, researchers and engineers to get to know our user’s needs and current pain points.</li><li>Work with your Manager and team to review and create quarterly goals</li><li>Understand your product’s roadmap and what data is available to make data driven decisions</li></ul><h2>First 90 days</h2><ul style="min-height:1.5em"><li>Understand the company’s and business unit’s product vision and how it relates to your team’s objectives</li><li>Provide clarity of product vision to your team and how your team contributes to the overall success of the company and business unit</li><li>Develop deep understanding of our developers and customers and why they love Docker</li><li>Shape your team roadmap and vision in close collaboration with design and engineering peers.</li><li>Lead the definition of the team OKRs for the quarter and provide progress reports</li></ul><h2>One Year Outlook</h2><ul style="min-height:1.5em"><li>Lead product initiatives across cross-functional teams to create value for our users</li><li>Drive the long term direction of your product including contributions to ARR</li></ul>Compensation &amp; EquityUnited States: $280,000 – $300,000 + equity______________________________________________________________________<h2>Posting Information</h2><ul style="min-height:1.5em"><li>Open vacancy: This posting is for an existing open role.</li><li>AI in hiring: Docker may use AI-assisted tools during our recruiting process.</li><li>Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.</li></ul>______________________________________________________________________<h2>Perks &amp; Benefits</h2><ul style="min-height:1.5em"><li>Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.</li><li>Flexibility that fits your life – We trust you to manage your schedule while delivering great work.</li><li>Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.</li><li>Home office support – Set up your workspace for comfort and success.</li><li>Technology stipend – Equivalent to US$100 net per month to help support your work.</li><li>Learning &amp; development – Annual stipend for conferences, courses, certifications, and continued learning.</li><li>Parental leave – 16 weeks of paid parental leave after six months of employment.</li><li>Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.</li><li>Comprehensive benefits – Medical, retirement, and paid holidays vary by country.</li><li>Docker swag – Because representing the whale never gets old.</li></ul>Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.#LI-REMOTE

Principal Product Manager

<h2>About Docker</h2>Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default._______________________________________________________________________Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance - so developers can focus on building incredible AI agents, not gluing together infrastructure.The Gateway sits at the center of modern AI applications, offering:<ul style="min-height:1.5em"><li>A model and tool routing layer with built-in security and cost optimization</li><li>A familiar OpenAI-compatible interface and MCP server</li><li>Unified observability and policy enforcement</li><li>Auto-RAG, tool injection, session summarization, and more</li></ul>We’re just getting started and we need exceptional engineers to help us build the backbone of the future of agent-based development.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Set technical direction for core systems powering the AI Gateway 0 the model router, MCP gateway, and control plane - and make sure architectural decisions hold up as usage scales by 10x</li><li>Consistently identify gaps in our infrastructure, process, or tooling before they become blockers, and drive the fix from idea to production</li><li>Take a significant, hands-on role in defining, delivering, and implementing the Gateway's technical strategy, in close partnership with engineering leadership</li><li>Own the hardest, highest-ambiguity problems in the system: dynamic model selection, auto-failover, cost-based routing, and policy enforcement that has to work end-to-end</li><li>Act as the go-to expert for secure credential storage, session summarization, caching, and rate limiting - the capabilities everything else depends on</li><li>Build the infrastructure that lets us, and our customers, evaluate, replay, and backtest agent and LLM behavior with confidence</li><li>Mentor senior and mid-level engineers, and raise the technical bar for the team through code, design review, and example</li><li>Partner with product, design, and leadership to shape not just what the control plane UI does, but where the product goes next</li></ul><h2>Key Problems You’ll Help Solve</h2><ul style="min-height:1.5em"><li>Define the unified abstraction layer across diverse model and tool providers (OpenAI, Anthropic, Google, AWS Bedrock) that the rest of the org builds on</li><li>Architect secure, scalable identity and credential vaulting for tool and model access, trusted enough to run at enterprise scale</li><li>Build the infrastructure for real-time and historical analytics of AI agent behavior that leadership and customers both rely on</li><li>Guarantee that policy enforcement and logging work end-to-end - from prompt to tool to response - with no gaps an auditor (or attacker) could find</li><li>Set the bar for developer experience through intuitive APIs and first-class observability</li></ul><h2>Who You Are</h2>Required Qualifications<ul style="min-height:1.5em"><li>8+ years of backend engineering experience, with a track record of owning production-grade systems at significant scale</li><li>Deep specialization in distributed systems, cloud-native infrastructure, and API design - recognized by peers and cross-functional partners as a go-to expert, not just experienced</li><li>Experience building secure, high-throughput services (gateways, proxies, load balancers, policy engines), and a history of making judgment calls other engineers rely on</li><li>Fluency in Go and/or Rust</li><li>A track record of identifying systemic gaps - in architecture, process, or tooling-— and driving the fix across team boundaries, not just within your own</li><li>A strong product mindset, with real experience shaping technical direction rather than only executing against it</li><li>Comfortable operating with wide latitude: given a problem and significant autonomy in how to solve it, including when and who to pull in</li><li>Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience</li></ul><h2>Bonus Qualifications</h2><ul style="min-height:1.5em"><li>Prior experience with OpenAI, Anthropic, or similar LLM APIs</li><li>Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI)</li><li>Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways</li><li>Understanding of OAuth 2.1, secret management, and cloud IAM systems</li><li>Experience with Kubernetes, Docker, and microservices architecture</li><li>A track record of setting technical standards that other teams or engineers went on to adopt</li></ul><h2>Why Join Us?</h2><ul style="min-height:1.5em"><li>Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software.</li><li>Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications.</li><li>Impact at scale: Your work will touch tens of thousands of developers building AI-first applications.</li><li>Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking.</li><li>Remote-first culture: Work from anywhere with a team that trusts and empowers you.</li></ul>Docker considers sponsorship on a case-by-case basis based on business needs.<div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div>Compensation &amp; EquityUnited States: $170,350 – $275,550 + equity______________________________________________________________________<h2>Posting Information</h2><ul style="min-height:1.5em"><li>Open vacancy: This posting is for an existing open role.</li><li>AI in hiring: Docker may use AI-assisted tools during our recruiting process.</li><li>Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.</li></ul>______________________________________________________________________<h2>Perks &amp; Benefits</h2><ul style="min-height:1.5em"><li>Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.</li><li>Flexibility that fits your life – We trust you to manage your schedule while delivering great work.</li><li>Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.</li><li>Home office support – Set up your workspace for comfort and success.</li><li>Technology stipend – Equivalent to US$100 net per month to help support your work.</li><li>Learning &amp; development – Annual stipend for conferences, courses, certifications, and continued learning.</li><li>Parental leave – 16 weeks of paid parental leave after six months of employment.</li><li>Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.</li><li>Comprehensive benefits – Medical, retirement, and paid holidays vary by country.</li><li>Docker swag – Because representing the whale never gets old.</li></ul>Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.#LI-REMOTE

Staff Software Engineer, AI Gateway

<h2>About Docker</h2>Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default._______________________________________________________________________Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance—so developers can focus on building incredible AI agents, not gluing together infrastructure.The Gateway sits at the center of modern AI applications, offering:<ul style="min-height:1.5em"><li>A model and tool routing layer with built-in security and cost optimization</li><li>A familiar OpenAI-compatible interface and MCP server</li><li>Unified observability and policy enforcement</li><li>Auto-RAG, tool injection, session summarization, and more</li></ul>We’re just getting started—and we need exceptional engineers to help us build the backbone of the future of agent-based development.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Design and implement core systems powering the AI Gateway, including the model router, MCP gateway, and control plane</li><li>Build infrastructure that supports dynamic model selection/routing, auto-failover, cost-based routing, and policy enforcement</li><li>Own critical capabilities such as secure credential storage, session summarization, caching, and rate limiting</li><li>Develop APIs for developers building with OpenAI-compatible interfaces and the Model Context Protocol</li><li>Build the underlying infrastructure to support evaluation, telemetry, replay, and backtesting for agents and LLM workflows</li><li>Lead architectural decisions and mentor engineers as the team scales</li><li>Performance tuning - caching, session summarization, and rate limiting that keep the gateway fast under real production load</li><li>Contribute to roadmap planning, technical strategy, and cross-functional alignment</li></ul><h2>Key Problems You’ll Help Solve</h2><ul style="min-height:1.5em"><li>Building a unified abstraction over fundamentally different model and tool providers without leaking their differences into the developer experience</li><li>Making credential and identity handling for tool access both airtight and fast</li><li>Giving developers real-time and historical visibility into what their agents are doing, with policy enforcement that can't be bypassed</li><li>Keeping latency low and reliability high as traffic scales from early adopters to production fleets</li></ul><h2>Who You Are</h2>Required Qualifications:<ul style="min-height:1.5em"><li>6+ years of backend engineering experience with production-grade systems</li><li>Deep knowledge of distributed and highly scalable systems, cloud-native infrastructure, and API design</li><li>Experience building secure, high-throughput services (e.g., gateways, proxies, load balancers, policy engines)</li><li>Fluency in Go, and/or Rust (both preferred)</li><li>Familiarity with AI/ML platforms or model serving infrastructure</li><li>A strong product mindset—you're excited about building developer-facing tools</li><li>Ownership mentality with a bias for shipping, learning, and iterating</li><li>Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience</li></ul>Bonus Qualifications:<ul style="min-height:1.5em"><li>Prior experience with OpenAI, Anthropic, or similar LLM APIs</li><li>Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI)</li><li>Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways</li><li>Understanding of OAuth2.1, secret management, and cloud IAM systems</li><li>Experience with Kubernetes, Docker, and microservices architecture</li></ul><h2>Why Join Us?</h2><ul style="min-height:1.5em"><li>Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software.</li><li>Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications.</li><li>Impact at scale: Your work will touch tens of thousands of developers building AI-first applications.</li><li>Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking.</li><li>Remote-first culture: Work from anywhere with a team that trusts and empowers you.</li></ul>Docker considers visa sponsorship on a case-by-case basis based on business needs.<div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div>Compensation &amp; EquityUnited States: $160,900 – $260,700 + equity______________________________________________________________________<h2>Posting Information</h2><ul style="min-height:1.5em"><li>Open vacancy: This posting is for an existing open role.</li><li>AI in hiring: Docker may use AI-assisted tools during our recruiting process.</li><li>Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.</li></ul>______________________________________________________________________<h2>Perks &amp; Benefits</h2><ul style="min-height:1.5em"><li>Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.</li><li>Flexibility that fits your life – We trust you to manage your schedule while delivering great work.</li><li>Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.</li><li>Home office support – Set up your workspace for comfort and success.</li><li>Technology stipend – Equivalent to US$100 net per month to help support your work.</li><li>Learning &amp; development – Annual stipend for conferences, courses, certifications, and continued learning.</li><li>Parental leave – 16 weeks of paid parental leave after six months of employment.</li><li>Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.</li><li>Comprehensive benefits – Medical, retirement, and paid holidays vary by country.</li><li>Docker swag – Because representing the whale never gets old.</li></ul>Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.#LI-REMOTE

Senior Software Engineer, AI Gateway

<h2>About Docker</h2>Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default._______________________________________________________________________Docker is looking for a Senior Software Engineer to build AI-powered developer tools and the platform behind them on our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building tools that make Docker's engineers more productive and the platform that lets teams across Docker prototype, deploy, and scale their own AI developer tools.As a Senior Engineer you will design, build, and operate:AI-Powered Developer Tools. AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents.Self-Service AI Developer Tools Platform. Platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools, using the patterns and standards the team sets.You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal and Staff engineers, product engineering teams, and platform teams across Docker.<h1>What Would Make Someone Successful in This Role</h1>You are a strong, hands-on engineer who enjoys building at the intersection of AI, developer experience, and platform engineering. You have built software on top of LLMs and AI agents and have a good sense of what works in practice. You care about the people using your tools, and you can tell a tool developers love from one they put up with. You take a feature from a vague request to production: you ask the right questions about requirements, design it sensibly, ship it iteratively, and operate it afterward. You are comfortable in a fast-moving AI landscape and balance quality with pragmatism. You make the engineers around you better through thoughtful code review and by sharing what you learn.<h1>Responsibilities</h1>Building and Operating AI Developer Tools<ul style="min-height:1.5em"><li>Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation</li><li>Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable tools, following the team's patterns and standards</li><li>Build systems that help Docker's engineers adopt AI-native development tools</li><li>Build integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems</li><li>Instrument your tools so the team can measure adoption, effectiveness, and developer satisfaction</li></ul>Self-Service Platform<ul style="min-height:1.5em"><li>Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management, that help teams ship their own AI tools faster</li><li>Help reduce time-to-production for new products from weeks to days</li><li>Contribute to reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response</li></ul>Design and Delivery<ul style="min-height:1.5em"><li>Take features and services from requirements to production. Ask about scale, users, and constraints before designing, and write down your assumptions</li><li>Write clear design documents for the work you own, and participate in design reviews for the team</li><li>Review code thoroughly and share what you learn with the rest of the team</li><li>Take part in the team's on-call rotation, and help improve alerts, runbooks, and tooling so the next incident is easier</li><li>Follow the AI-assisted engineering practices the team sets: use AI tools critically, validate their output, and stay accountable for what you ship</li></ul>Collaboration and Growth<ul style="min-height:1.5em"><li>Work with the Senior Manager and the team's Principal and Staff engineers to understand priorities and shape your work</li><li>Partner with Infrastructure, Security, and Data teams on integrations and shared standards</li><li>Help newer engineers get up to speed on the team's tools, patterns, and practices</li><li>Keep up with emerging AI/LLM technologies and agent frameworks, and bring useful findings back to the team</li></ul><h1>Qualifications</h1><h2>Required</h2><ul style="min-height:1.5em"><li>6+ years of software engineering experience building and operating production systems</li><li>Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools</li><li>Working knowledge of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows</li><li>Experience building and operating scalable backend services, distributed systems, or developer-facing platforms</li><li>Experience with cloud-native infrastructure, including Kubernetes, CI/CD pipelines, and observability systems</li><li>Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals</li><li>Experience building developer tools, platform systems, or internal tools that other engineers rely on</li><li>Good product judgment: you weigh developer experience and technical trade-offs, and you ask clarifying questions before committing to a design</li><li>Clear written and spoken communication suited to a remote, async-first company</li><li>Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments</li><li>Comfortable working autonomously in a distributed, remote-first team</li><li>Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience</li></ul><h2>Preferred</h2><ul style="min-height:1.5em"><li>Experience with MCP (Model Context Protocol) or similar AI agent integration standards</li><li>Background in developer productivity, DevOps, SRE, or platform engineering</li><li>Contributions to open source AI tools, developer tooling, or platform engineering projects</li><li>Experience with GitOps deployment patterns (ArgoCD) or Grafana-based observability</li><li>Familiarity with security and operational practices for production AI systems</li><li>Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure)</li></ul><h1>What to Expect</h1><h2>First 30 Days</h2><ul style="min-height:1.5em"><li>Learn Docker's current AI and developer tooling landscape, the team's services, and the architecture decisions made so far</li><li>Meet your teammates, including the Principal and Staff engineers, the Senior Manager, and key stakeholders in product engineering</li><li>Ship a useful production change in your first weeks, using the team's AI-assisted engineering workflow</li><li>Review existing AI tool prototypes and internal experiments to learn what is working and what is not</li><li>Shadow on-call and learn the operational profile of the team's services</li></ul><h2>First 90 Days</h2><ul style="min-height:1.5em"><li>Own a feature or service from design to production with measurable impact, such as part of an AI code review agent, a deployment diagnostic agent, or an on-call assistant</li><li>Write the design document for work you own and take part in team design reviews</li><li>Contribute to the self-service platform's deployment pipeline, observability integration, or security controls</li><li>Take part in the on-call rotation</li></ul><h2>First Year Outlook</h2><ul style="min-height:1.5em"><li>Be a go-to engineer for one or more of the team's AI tools or platform components</li><li>Have shipped multiple production improvements that Docker engineers use every day, with adoption and effectiveness you can point to</li><li>Have helped teams outside AI Developer Tools build and run their own tools on the platform</li><li>Have taken on larger and more ambiguous work as your scope grows, and helped newer engineers do the same</li></ul>Docker considers visa sponsorship on a case-by-case basis based on business needs.<div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div>Compensation &amp; EquityUnited States: $160,900 – $260,700 + equity______________________________________________________________________<h2>Posting Information</h2><ul style="min-height:1.5em"><li>Open vacancy: This posting is for an existing open role.</li><li>AI in hiring: Docker may use AI-assisted tools during our recruiting process.</li><li>Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.</li></ul>______________________________________________________________________<h2>Perks &amp; Benefits</h2><ul style="min-height:1.5em"><li>Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.</li><li>Flexibility that fits your life – We trust you to manage your schedule while delivering great work.</li><li>Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.</li><li>Home office support – Set up your workspace for comfort and success.</li><li>Technology stipend – Equivalent to US$100 net per month to help support your work.</li><li>Learning &amp; development – Annual stipend for conferences, courses, certifications, and continued learning.</li><li>Parental leave – 16 weeks of paid parental leave after six months of employment.</li><li>Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.</li><li>Comprehensive benefits – Medical, retirement, and paid holidays vary by country.</li><li>Docker swag – Because representing the whale never gets old.</li></ul>Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.#LI-REMOTE

Senior Software Engineer, AI Developer Tools

<h2>About Docker</h2>Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default._______________________________________________________________________Docker is looking for a Staff Software Engineer to set the technical direction for key parts of our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building the AI-powered tools and the platform that let teams across Docker prototype, deploy, and scale their own AI developer tools.As a Staff Engineer you will own the technical design and delivery for two areas:AI-Powered Developer Tools. Design and build AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents.Self-Service AI Developer Tools Platform. Design and build the platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools. You will set the patterns and standards that let teams experiment, iterate quickly, and graduate successful prototypes into production-ready services.You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal engineers, engineering leadership, product engineering teams, and platform teams across Docker.<h1>What Would Make Someone Successful in This Role</h1>You are a hands-on technical leader who works well at the intersection of AI, developer experience, and platform engineering. You have shipped production systems built on LLMs and AI agents, and you can explain what worked and what did not. You think in platforms: you design something once so that several teams can move faster. You have clear opinions about what makes a developer tool good, and sound judgment about when to build, when to integrate, and when not to do either. You are comfortable in a fast-moving AI landscape and balance technical quality with shipping iteratively. Before you design, you ask about scale, users, and constraints rather than assuming them. You lead through influence and mentorship, and the engineers around you get better because you are on the team.<h1>Responsibilities</h1>Technical Leadership and Architecture<ul style="min-height:1.5em"><li>Set technical direction and own the architecture for AI-powered developer tools and the self-service platform within the team's roadmap</li><li>Turn ambiguous problems into clear requirements, plans, and staged decisions. Ask about scale, users, and constraints before designing, and write down your assumptions</li><li>Establish patterns, standards, and best practices for LLM integration, agent development, and production AI systems that the team and partner teams adopt</li><li>Shape platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools</li><li>Design reliable, scalable infrastructure for hosting AI agents and developer tools</li><li>Recommend AI technology choices, LLM provider strategies, and agent orchestration approaches, and make the trade-offs explicit</li><li>Work with the Senior Manager and the team's Principal engineers to align technical decisions with business goals</li></ul>Systems Design and Implementation<ul style="min-height:1.5em"><li>Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation</li><li>Build self-service platform capabilities that reduce time-to-production for new AI tools from weeks to days</li><li>Build systems that speed up adoption of AI-native development tools (Claude Code, Codex) across Docker's engineering organization</li><li>Set and meet reliability, security, and performance standards for AI systems, including SLOs, monitoring, incident response, and cost management</li><li>Design integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems</li><li>Take part in the team's on-call rotation and use what you learn to improve alerts, runbooks, and tooling</li></ul>Strategic Impact and Innovation<ul style="min-height:1.5em"><li>Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks, and recommend what Docker should adopt and what it should not build</li><li>Define how we measure AI tool effectiveness, including adoption, productivity gains, and developer satisfaction</li><li>Improve AI tool performance, cost efficiency, and developer experience through architectural improvements</li><li>Contribute to the technical approach for hardening proven internal tools so other teams across Docker can adopt them</li><li>Lead cross-team technical delivery, surface risks early, and work with Infrastructure, Security, and Data on shared standards</li></ul>Leadership and Mentorship<ul style="min-height:1.5em"><li>Mentor senior engineers on AI/LLM integration patterns, agent development, and platform engineering practices</li><li>Lead design reviews and raise the quality of design and code reviews across the team</li><li>Create reusable patterns, documentation, and architectural decision records (ADRs) that other engineers build on</li><li>Help the team turn good individual AI-assisted engineering practice into shared workflows and controls</li><li>This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.</li></ul><h1>Qualifications</h1><h2>Required</h2><ul style="min-height:1.5em"><li>8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale</li><li>Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools</li><li>Strong understanding of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows</li><li>Track record of designing and building scalable distributed systems and developer-facing platforms</li><li>Production experience with cloud-native infrastructure, including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines</li><li>Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals</li><li>Experience designing developer tools, platform systems, or internal tools that other teams rely on</li><li>Track record of clarifying requirements and constraints with stakeholders before committing to a design</li><li>Track record of leading complex initiatives that crossed team boundaries, and of influencing without direct authority</li><li>Strong product and platform judgment: you weigh business outcomes, developer experience, and technical trade-offs</li><li>Clear written and spoken communication suited to a remote, async-first company</li><li>Track record of mentoring other experienced engineers</li><li>Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments</li><li>Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience</li></ul><h2>Preferred</h2><ul style="min-height:1.5em"><li>Experience with MCP (Model Context Protocol) or similar AI agent integration standards</li><li>Background in developer productivity, DevOps, SRE, or platform engineering</li><li>Contributions to open source AI tools, developer tooling, or platform engineering projects</li><li>Experience evolving an internal platform or tool into a widely adopted, production-grade service</li><li>Knowledge of security, compliance, and operational practices for production AI systems</li><li>Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure)</li></ul><h1>What to Expect</h1><h2>First 30 Days</h2><ul style="min-height:1.5em"><li>Build context on Docker's current AI and developer tooling landscape, including existing AI experiments, LLM provider relationships, and architecture decisions to date</li><li>Meet the Senior Manager, the team's Principal engineers, engineering leadership, and key stakeholders in product engineering to understand needs, pain points, and constraints</li><li>Review existing AI tool prototypes and internal experiments to learn what is working and what is not</li><li>Get hands-on with the team's services and ship a useful production change</li><li>Shadow on-call and learn the operational profile of the team's services</li><li>Work with the Senior Manager to agree on initial technical priorities</li></ul><h2>First 90 Days</h2><ul style="min-height:1.5em"><li>Lead the technical framing and delivery plan for one significant problem, from requirements through to production</li><li>Document the architecture, technology choices, and integration patterns for that work, including ADRs</li><li>Ship a production AI developer tool that sets patterns the team can reuse (for example an AI-powered code review agent, a deployment diagnostic agent, or an on-call assistant)</li><li>Contribute to the technical foundations of the self-service platform: deployment pipeline, observability integration, security controls, and cost management</li><li>Lead design reviews for your area of the roadmap and begin mentoring other engineers</li><li>Take part in the on-call rotation</li></ul><h2>First Year Outlook</h2><ul style="min-height:1.5em"><li>Be the trusted technical lead for your area of AI Developer Tools, and a sought-after partner for teams across Docker</li><li>Deliver at least one material outcome that spans multiple teams or systems</li><li>Have multiple production AI tools demonstrating value across Docker's engineering organization</li><li>Help build a self-service platform that lets multiple teams build, deploy, and operate their own AI tools with little friction</li><li>Define and instrument how the team measures AI tool adoption, effectiveness, and developer productivity impact</li><li>Grow other senior engineers into broader ownership, and reduce the number of decisions that depend on a small set of people</li></ul>Docker considers sponsorship on a case-by-case basis based on business needs.<div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div>Compensation &amp; EquityUnited States: $170,350 – $275,550 + equity______________________________________________________________________<h2>Posting Information</h2><ul style="min-height:1.5em"><li>Open vacancy: This posting is for an existing open role.</li><li>AI in hiring: Docker may use AI-assisted tools during our recruiting process.</li><li>Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.</li></ul>______________________________________________________________________<h2>Perks &amp; Benefits</h2><ul style="min-height:1.5em"><li>Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.</li><li>Flexibility that fits your life – We trust you to manage your schedule while delivering great work.</li><li>Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.</li><li>Home office support – Set up your workspace for comfort and success.</li><li>Technology stipend – Equivalent to US$100 net per month to help support your work.</li><li>Learning &amp; development – Annual stipend for conferences, courses, certifications, and continued learning.</li><li>Parental leave – 16 weeks of paid parental leave after six months of employment.</li><li>Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.</li><li>Comprehensive benefits – Medical, retirement, and paid holidays vary by country.</li><li>Docker swag – Because representing the whale never gets old.</li></ul>Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.#LI-REMOTE

Staff Software Engineer, AI Developer Tools

<h2>About Docker</h2>Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default._______________________________________________________________________As agents take on bigger jobs, the infrastructure around them matters more. Docker's answer is to give every agent a strong boundary, make its environment and authority reproducible, and let the work run where it makes sense, from a developer's laptop to the cloud. The Docker AI Substrate team brings that foundation to the enterprise: the largest companies in the world, running agents at scale, with the security, reliability, and control they expect from any critical system. We are a small, senior team at the start of that work. As a Staff Software Engineer here, you will shape the architecture, build the core systems, and run what you build.Locations: Seattle, WA or Palo Alto, CA.<h2>Responsibilities</h2><ul style="min-height:1.5em"><li>Design and build the systems that deploy, release, and operate Docker's agentic platform for enterprise customers, in Go and on Kubernetes.</li><li>Make the platform run consistently across cloud providers and environments, with the security, identity, and network boundaries enterprises require.</li><li>Own the release and supply chain path so every deployment is reproducible, verifiable, and trusted.</li><li>Run what you build: production ownership, on-call, SLOs, incident response, and the operational tooling that keeps it boring.</li><li>Set technical direction with the team's architect and engineering leadership, and work with partner teams across runtime, developer experience, identity, and observability.</li><li>Raise the bar through design review, testing discipline, and mentorship as the team grows.</li></ul><h2>Qualifications</h2><h3>Required</h3><ul style="min-height:1.5em"><li>You have built and operated a cloud control and management plane. Software that provisions, upgrades, and watches infrastructure for many tenants or environments, in production, with a pager. Experience at a cloud provider, a managed-service vendor, or a platform team that stamps out environments.</li><li>Kubernetes beyond deployment. You have written controllers or operators, understand reconciliation and CRDs, and know why declarative beats imperative at fleet scale.</li><li>Deep in at least one major cloud. Hands-on with compute, networking, identity, and managed services, and able to pick up a second cloud fast.</li><li>Production ownership. On-call, incident response, SLOs, post-mortems. You run what you build.</li><li>Distributed systems design. Fault tolerance, consistency, observability, idempotent reconciliation.</li><li>Go. Professional proficiency. Docker's backend and all of this team's code is Go.</li><li>10+ years of professional software engineering in infrastructure, platform, or cloud services, with the judgment to set direction for others.</li></ul><h2>Strongly preferred</h2><ul style="min-height:1.5em"><li>Kubernetes resource orchestration and cloud controllers, such as KRO.</li><li>Release engineering and software supply chain: OCI registries, digests, license compliance.</li><li>Private connectivity between cloud accounts: PrivateLink, VPC peering, service endpoints, egress policy.</li><li>OpenTelemetry pipelines with multiple destinations.</li><li>Building managed services.</li><li>Firecracker, microVMs, or other isolated execution environments for untrusted code.</li><li>Bachelor's degree in Computer Science or a related field, or equivalent practical experience.</li></ul>Docker considers visa sponsorship on a case-by-case basis based on business needs.<div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div>Compensation &amp; EquityUnited States: $170,350 – $275,550 + equity______________________________________________________________________<h2>Posting Information</h2><ul style="min-height:1.5em"><li>Open vacancy: This posting is for an existing open role.</li><li>AI in hiring: Docker may use AI-assisted tools during our recruiting process.</li><li>Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.</li></ul>______________________________________________________________________<h2>Perks &amp; Benefits</h2><ul style="min-height:1.5em"><li>Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.</li><li>Flexibility that fits your life – We trust you to manage your schedule while delivering great work.</li><li>Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.</li><li>Home office support – Set up your workspace for comfort and success.</li><li>Technology stipend – Equivalent to US$100 net per month to help support your work.</li><li>Learning &amp; development – Annual stipend for conferences, courses, certifications, and continued learning.</li><li>Parental leave – 16 weeks of paid parental leave after six months of employment.</li><li>Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.</li><li>Comprehensive benefits – Medical, retirement, and paid holidays vary by country.</li><li>Docker swag – Because representing the whale never gets old.</li></ul>Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.#LI-REMOTE

Staff Software Engineer, Docker AI Substrate (Seattle or Palo Alto)

<h2>About Docker</h2>Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default._______________________________________________________________________The Products Team at Docker is looking for a Principal Product Manager to lead components of Docker Sandboxes. You will own and drive this strategic product area from high-level concept design through delivery, adoption, and operation. You will help shape how developers and AI agents use fast, secure, isolated environments across local and cloud workflows. You will work closely with developers inside and outside of Docker, our customers, and our partners to expand our open ecosystem offering and provide value. As the company and ecosystem grow, you will help foster teams eager to continuously build, measure, and learn.To thrive in this role, you will need experience working with developers, deep technical fluency in systems and developer infrastructure, and prior experience as a software engineer. You will need to understand containers, sandboxes/microVMs, virtualization technologies, hypervisors, the software development lifecycle, and how untrusted or agent-generated code can be safely executed and orchestrated. You will need a relentless drive to try new things and an eye for detail. Your long-term success will depend on your ability to own the product roadmap, earn the trust of the developer community, and scale reliable services. Most importantly, you will need to be comfortable taking ownership of big objectives with big goals, working with a cross-functional team, and maintaining a bias for action.<h1>Responsibilities</h1><ul style="min-height:1.5em"><li>You own Docker Sandboxes, its long-term vision, roadmap, revenue, adoption, and results.</li><li>You believe in and can succinctly articulate our customers, their workflows, and their pain points. You empathize with the world they live in and the security, performance, compatibility, and cost constraints they work through.</li><li>You will engage deeply with developers building AI agents, coding environments, CI and testing systems, and other workloads that require secure, isolated execution, finding solutions for today while optimizing for tomorrow's vision.</li><li>You enjoy building infrastructure products that are easy to adopt and use. You will turn complex tradeoffs across isolation, startup time, performance, density, networking, storage, and cost into simple product experiences.</li><li>You are comfortable with ambiguity and will guide product definition, feature prioritization, and scope in concert with engineering, design, security, operations, and go-to-market teams.</li><li>You are a fan of iterative development, working with customers and cross-functional teams to hypothesize, measure adoption and impact, learn from releases, and continually improve the roadmap.</li></ul><h1>Qualifications</h1><ul style="min-height:1.5em"><li>You have deep empathy for the needs of developers and are obsessed with talking to your users.</li><li>You have prior professional experience as a software engineer, ideally in systems, infrastructure, platform engineering, developer tools, or cloud.</li><li>You have strong technical familiarity with sandboxes/microVMs, containers, virtualization technologies, and hypervisors, including the isolation and security boundaries each provides.</li><li>You understand the building blocks of modern developer infrastructure, including Linux, container runtimes, orchestration, networking, storage, APIs, and cloud services.</li><li>You have experience designing, building, or operating systems that execute customer-provided, untrusted, or agent-generated code at scale.</li><li>You are comfortable interacting with a command-line interface and discussing APIs, SDKs, and technical architecture with engineers and developers.</li><li>You have experience building B2B or SaaS products, or a background in public cloud and developer infrastructure.</li><li>You understand software supply chain and software security concerns, including multi-tenant isolation, identity, secrets management, observability, and reliability.</li><li>You can break down complex technical problems into small, releasable, user-valuable features.</li><li>You can explain complex ideas simply and communicate effectively in writing, verbally, and visually across diverse stakeholders.</li><li>You can analyze qualitative and quantitative data to inform decisions, define success metrics, and prioritize investments.</li><li>You have a collaborative approach, experience running products from greenfield to scale, and the ability to work with fast-moving, distributed, cross-functional teams. You are a doer as well as a strategist; we are small and need all hands on deck.</li></ul><h1>What to expect First 30 days</h1><ul style="min-height:1.5em"><li>Get to know Docker: our vision, mission, and values.</li><li>Understand the Docker Sandboxes team's mission, product strategy, and technical architecture.</li><li>Meet the team along with peers across the business unit and company.</li><li>Work closely with designers, researchers, engineers, security partners, and customers to understand user needs and current pain points.</li><li>Work with your manager and team to review and create quarterly goals.</li><li>Understand the product roadmap, key technical and business tradeoffs, and the data available to make data-driven decisions.</li></ul><h2>First 90 days</h2><ul style="min-height:1.5em"><li>Understand the company's and business unit's product vision and how Docker Sandboxes contributes to it.</li><li>Provide clarity on product vision, target users, priority use cases, and how the team contributes to the overall success of Docker.</li><li>Develop a deep understanding of our developers and customers, how they use isolated environments, and why they choose Docker.</li><li>Shape the team roadmap and product strategy in close collaboration with design, engineering, security, and go-to-market peers.</li><li>Lead the definition of team OKRs and success metrics for the quarter, and provide clear progress reports.</li></ul><h1>One Year Outlook</h1><ul style="min-height:1.5em"><li>Lead product initiatives across cross-functional teams that make secure, isolated execution simple and valuable for developers and AI agents.</li><li>Drive the long-term direction of Docker Sandboxes, including improvements to adoption, ecosystem integration, reliability, scale, unit economics, and ARR.</li></ul>Docker does not offer visa sponsorship for this role.Compensation &amp; EquityCanada CA$255,500 - CA$365,000 + equityUnited States: $184,100 - $263,000 + equity______________________________________________________________________<h2>Posting Information</h2><ul style="min-height:1.5em"><li>Open vacancy: This posting is for an existing open role.</li><li>AI in hiring: Docker may use AI-assisted tools during our recruiting process.</li><li>Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.</li></ul>______________________________________________________________________<h2>Perks &amp; Benefits</h2><ul style="min-height:1.5em"><li>Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.</li><li>Flexibility that fits your life – We trust you to manage your schedule while delivering great work.</li><li>Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.</li><li>Home office support – Set up your workspace for comfort and success.</li><li>Technology stipend – Equivalent to US$100 net per month to help support your work.</li><li>Learning &amp; development – Annual stipend for conferences, courses, certifications, and continued learning.</li><li>Parental leave – 16 weeks of paid parental leave after six months of employment.</li><li>Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.</li><li>Comprehensive benefits – Medical, retirement, and paid holidays vary by country.</li><li>Docker swag – Because representing the whale never gets old.</li></ul>Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.#LI-REMOTE

Principal Product Manager, Sandboxes

<h2>About Docker</h2>Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default._______________________________________________________________________We're building AI-native development practices into how this team works at a foundational level. That means infrastructure design needs to account for a new kind of collaborator: AI agents that generate, deploy, and operate software. The Staff Infrastructure Engineer on this team will keep systems running, define what safe, observable, AI-assisted infrastructure operations look like in practice, and set the standard for how the broader engineering organization follows.<h1>What you'll work on</h1>The Billing Platform Engineering team owns the systems that make Docker's commercial model real. You'll work on problems like:<ul style="min-height:1.5em"><li>How do we design infrastructure that makes AI-generated deployments safe to ship and easy to roll back?</li><li>How do we instrument billing systems so that failures — billing miscalculations, entitlement gaps, payment errors — are detected immediately and unambiguously?</li><li>How do we build infrastructure that scales with usage-based billing workloads without manual intervention?</li><li>How do we make the developer experience on this team faster and more reliable — local environments, CI/CD pipelines, deployment tooling?</li></ul><h1>Responsibilities</h1><ul style="min-height:1.5em"><li>Own and evolve the infrastructure supporting Billing Platform services: compute, storage, networking, CI/CD, and observability</li><li>Design and maintain IaC (Terraform) for billing system infrastructure on AWS; set module patterns and standards for the team</li><li>Build and own observability systems — metrics, logging, alerting — with a focus on billing accuracy and payment reliability</li><li>Define deployment patterns and runbooks that work well in an AI-agent-assisted development workflow: clear rollback procedures, safe promotion gates, automated validation</li><li>Partner with software engineers on service design — bringing infrastructure constraints and operational requirements into the conversation before code is written</li><li>Identify systemic risks and drive improvements that span team or organizational boundaries</li><li>Lead incident response for billing system issues. This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.</li><li>Mentor engineers across the team; your technical judgment should raise the floor for everyone</li></ul><h1>Qualifications</h1><ul style="min-height:1.5em"><li>8+ years in platform, infrastructure, or SRE roles supporting production SaaS systems at scale</li><li>Deep AWS expertise: ECS or EKS, RDS (Postgres preferred), networking, IAM, cost management — you've operated these systems under real load and real incidents</li><li>Expert-level Terraform; you've designed reusable module patterns and set standards others follow</li><li>Experience building and owning observability stacks (Datadog, Grafana, or similar) at an organizational level — not just using them</li><li>Strong familiarity with CI/CD systems — Jenkins, GitHub Actions, or equivalent — including pipeline design and developer experience ownership</li><li>Kubernetes at an operational and architectural level</li><li>A track record of identifying systemic risks and driving improvements that span team or organizational boundaries</li><li>Security-first mindset: threat modeling, blast radius analysis, least-privilege by default, audit trails as a design requirement</li><li>Strong written English; at Staff level, written communication is how you scale your influence across teams</li><li>Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience</li></ul><h1>What sets you apart</h1>You don't wait for problems to be handed to you — you find them, frame them, and drive the solution. You've operated at a scope where your decisions affected multiple teams or systems, and you know how to build consensus and move work forward without direct authority. You've thought seriously about what infrastructure needs to look like when AI agents are generating and shipping code — safe deployment patterns, strong observability, clean rollback — and you want to help define that standard here. Experience with billing, payments, or financial systems infrastructure is a meaningful plus.<h1>What to Expect First 30 Days</h1>You will ship code in your first week. We run an agent-first development workflow — infrastructure changes start with a plan, specifications are written before generation, and every change is reviewed before it merges — and onboarding is no exception. You will get hands-on with the infrastructure supporting Billing Platform services early, shadow on-call, and build a clear picture of the system before you start making bigger changes. By the end of 30 days you will have shipped real work and know where the most important problems are.<h2>First 90 Days</h2>You will have taken ownership of one or more infrastructure components and delivered an improvement from design to production with measurable impact. You will be an active participant in deployment and reliability discussions, bringing infrastructure constraints and operational requirements into the conversation early — before code is written. You will be a full participant in the on-call rotation and have begun shaping the team's technical direction.<h2>One Year Outlook</h2>You will be the team's trusted authority on billing infrastructure. You will have driven meaningful improvements to observability, deployment safety, or platform reliability — and your work will be directly visible in the resilience and correctness of systems that handle real financial transactions for millions of Docker users. You will have helped define what AI-agent-assisted infrastructure operations look like done right, and that standard will be visible beyond this team.Docker considers sponsorship on a case-by-case basis based on business needs.<div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div>Compensation &amp; EquityUnited States: $170,350 – $275,550 + equity______________________________________________________________________<h2>Posting Information</h2><ul style="min-height:1.5em"><li>Open vacancy: This posting is for an existing open role.</li><li>AI in hiring: Docker may use AI-assisted tools during our recruiting process.</li><li>Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.</li></ul>______________________________________________________________________<h2>Perks &amp; Benefits</h2><ul style="min-height:1.5em"><li>Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.</li><li>Flexibility that fits your life – We trust you to manage your schedule while delivering great work.</li><li>Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.</li><li>Home office support – Set up your workspace for comfort and success.</li><li>Technology stipend – Equivalent to US$100 net per month to help support your work.</li><li>Learning &amp; development – Annual stipend for conferences, courses, certifications, and continued learning.</li><li>Parental leave – 16 weeks of paid parental leave after six months of employment.</li><li>Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.</li><li>Comprehensive benefits – Medical, retirement, and paid holidays vary by country.</li><li>Docker swag – Because representing the whale never gets old.</li></ul>Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.#LI-REMOTE

Staff Software Engineer, Billing

<h2>About Docker</h2>Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default._______________________________________________________________________The Senior Principal Software Engineer is responsible for shaping and evolving the company’s technical landscape. In addition to designing, developing, and maintaining core systems, the Senior Principal Software Engineer provides strategic guidance to align technology initiatives with business goals. This role is vital in ensuring that the platform is secure, scalable, and performant—capable of supporting rapid growth and driving innovation.<h1>Responsibilities</h1>Technical Strategy &amp; Architecture● Define and drive the overarching technical vision, ensuring the platform meets current and future scalability, performance, and security needs● Evaluate and select tools, frameworks, and architectures to maintain a state-of-the-art technology stackLeadership &amp; Mentorship● Provide technical leadership and guidance to the engineering organization, setting best practices and standards.● Coach and mentor engineers, fostering a culture of continuous learning and collaborationInnovation &amp; Research● Investigate emerging technologies, frameworks, and best practices● Lead prototyping initiatives and proof-of-concepts that can transform the platform’s capabilitiesScalability &amp; Performance● Ensure the platform is designed for high performance and can seamlessly handle increasing user loads● Oversee performance optimization, load balancing, and capacity planning strategiesReliability &amp; Availability● Design fault-tolerant, highly available systems that minimize downtime and deliver a seamless user experience Infrastructure Automation● Advocate for and implement Infrastructure as Code (IaC) principles, CI/CD pipelines, and automation best practices● Continuously refine deployment, testing, and operations processes to improve efficiencySecurity &amp; Compliance● Collaborate with security experts to ensure platform integrity, compliance with industry standards, and protection of sensitive data● Proactively address security vulnerabilities and champion secure coding practicesCross-Functional Collaboration● Work closely with product managers, designers, and other stakeholders to ensure technical initiatives support business objectives● Drive alignment between engineering roadmaps and product strategiesTechnical Problem-Solving● Tackle complex architectural and technical issues, providing clear direction and innovative solutions● Serve as an escalation point for critical system challengesCode Quality &amp; Reviews● Uphold coding standards through thorough code reviews, ensuring high-quality, maintainable codebases● Establish and enforce best practices around testing, documentation, and version controlDocumentation &amp; Knowledge Sharing● Produce comprehensive technical documentation, including architectural diagrams, design guidelines, and operational runbooks● Promote a transparent engineering culture by sharing insights and successes across the organization<h1>Qualifications</h1>● 12+ years of software engineering experience with demonstrated expertise across multiple domains (SDLC, AI engineering, corporate systems, etc)● Extensive software engineering experience, with a track record in designing and implementing large-scale, distributed systems● Deep technical expertise: Proficiency in multiple programming languages, cloud platforms (e.g., AWS, Azure, GCP), and modern development frameworks● Leadership acumen: Demonstrated ability to lead diverse engineering teams, inspire innovation, and drive successful outcomes● Architectural vision: Proven skill in defining and driving architectural roadmaps that align with evolving business needs.● Problem-solving ability: Expertise in diagnosing complex system issues and designing robust, scalable solutions● Communication skills: Excellent written and verbal communication skills, capable of influencing both technical and non-technical stakeholders.● Security conscious: Solid understanding of security best practices, compliance standards, and data protection● Continuous improvement mindset: Passion for optimizing processes, toolchains, and workflows● Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experienceAs a Senior Principal Software Engineer, you will not only architect innovative solutions but also shape the technical culture. Your leadership and expertise will be pivotal in building a resilient, cutting-edge platform that supports rapid growth and drives long-term success.Docker considers visa sponsorship on a case-by-case basis based on business needs.<div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div>Compensation &amp; EquityUnited States: $219K – $352K + equity______________________________________________________________________<h2>Posting Information</h2><ul style="min-height:1.5em"><li>Open vacancy: This posting is for an existing open role.</li><li>AI in hiring: Docker may use AI-assisted tools during our recruiting process.</li><li>Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.</li></ul>______________________________________________________________________<h2>Perks &amp; Benefits</h2><ul style="min-height:1.5em"><li>Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.</li><li>Flexibility that fits your life – We trust you to manage your schedule while delivering great work.</li><li>Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.</li><li>Home office support – Set up your workspace for comfort and success.</li><li>Technology stipend – Equivalent to US$100 net per month to help support your work.</li><li>Learning &amp; development – Annual stipend for conferences, courses, certifications, and continued learning.</li><li>Parental leave – 16 weeks of paid parental leave after six months of employment.</li><li>Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.</li><li>Comprehensive benefits – Medical, retirement, and paid holidays vary by country.</li><li>Docker swag – Because representing the whale never gets old.</li></ul>Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.#LI-REMOTE

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