Software Engineer III, AI Developer Tools
Docker, Inc
full-time
Posted on:
Location Type: Remote
Location: Remote • Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $157,000 - $222,800 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudDistributed SystemsDockerGoGoogle Cloud PlatformJavaMicroservicesPythonRust
About the role
- Build AI-Powered Developer Tools: Design, implement, and ship production-ready AI agents and tools that accelerate developer productivity such as code review and refactoring assistants, automated test generators, local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call tasks when handling incidents
- Implement LLM Integrations: Build robust, production-grade integrations with LLM APIs (OpenAI, Anthropic, etc.) such as prompt engineering, response parsing, error handling, rate limiting, cost management, and performance optimization
- Develop Agent Orchestration Systems: Create agent frameworks and orchestration systems that enable complex multi-step workflows, tool calling, context management, and agent-to-agent communication
- Contribute to Platform Infrastructure: Build self-service platform capabilities that enable teams across Docker to rapidly deploy and operate their own AI developer tools such as deployment pipelines, observability integration, security controls, and operational tooling
- Drive Adoption of AI-Native Development: Build tools and programs that accelerate adoption of AI developer tools such as Claude Code, Cursor, and Warp across Docker's engineering organization
- Ensure Production Quality: Write well-tested code with strong test coverage (unit, integration, end-to-end); establish monitoring, alerting, and operational excellence for AI systems
- Collaborate Cross-Functionally: Partner with Principal Engineer and Senior Engineers on architecture, work with product and design teams on features and UX, and collaborate with platform teams (Infrastructure, Security, Data) on integrations; build effective partnerships across multiple teams
- Act as Technical Resource: Help teammates solve problems and share knowledge through code reviews and technical discussions
- Participate in Operations: Take part in on-call rotation for AI developer tools; respond to incidents, debug production issues, and drive continuous improvement of system reliability
- Document and Share: Create clear technical documentation for features you build; share patterns and learnings with the team
- Measure and Iterate: Instrument AI tools to measure adoption, effectiveness, and developer productivity impact; iterate based on data and user feedback to continuously improve developer experience
Requirements
- 3-5 years building production-grade backend systems or developer-facing tools with strong software engineering fundamentals
- Hands-on production experience with AI/ML technologies including practical experience with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, and AI agent development
- Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
- Experience designing and building distributed systems, microservices, or platform infrastructure
- Strong understanding of cloud-native systems (AWS, GCP, or Azure), APIs, and data stores
- Solid grasp of CI/CD, automated testing, code review practices, and modern development workflows
- Demonstrated ability to work independently on day-to-day work with general guidance on new projects
- Product-minded approach to building developer tools with focus on user experience and measurable outcomes
- Excellent communication skills in remote, asynchronous environments with ability to document technical decisions clearly
- Ability to build effective working relationships across multiple teams
- Ownership mentality with bias for action and iterative delivery
- Comfortable working autonomously across distributed teams and navigating ambiguity.
Benefits
- Freedom & flexibility; fit your work around your life
- Designated quarterly Whaleness Days plus end of year Whaleness break
- Home office setup; we want you comfortable while you work
- 16 weeks of paid Parental leave
- Technology stipend equivalent to $100 net/month
- PTO plan that encourages you to take time to do the things you enjoy
- Training stipend for conferences, courses and classes
- Equity; we are a growing start-up and want all employees to have a share in the success of the company
- Docker Swag
- Medical benefits, retirement and holidays vary by country
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI technologiesML technologiesLLM APIsprompt engineeringGoRustJavaPythondistributed systemsmicroservices
Soft skills
communication skillscollaborationownership mentalityproblem-solvingtechnical documentationindependent workuser experience focusrelationship buildingiterative deliverynavigating ambiguity