Docker, Inc · 3 hours ago
Software Engineer III, AI Developer Tools
United States
Full-time
Remote
Mid, Senior Level
$157K/yr - $223K/yr
3+ years expDocker, Inc is a leading company in app development, seeking a Software Engineer III to join their AI Developer Tools team. The role involves building AI-powered tools to enhance developer productivity and collaborating with cross-functional teams to improve developer experiences and operational efficiency.
Developer PlatformDeveloper ToolsInformation TechnologySoftware
No H1B
Responsibilities
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
Qualification
Required
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
Preferred
Contributions to open source AI tools, developer tooling, or platform engineering projects
Experience with MCP (Model Context Protocol) or similar AI agent integration standards
Background in developer productivity, DevOps, SRE, or platform engineering domains
Experience with Kubernetes, Docker, and container orchestration
Knowledge of developer tools ecosystems (IDEs, CI/CD platforms, observability tools)
Experience with infrastructure-as-code (Terraform, Pulumi) and GitOps deployment patterns (ArgoCD, FluxCD)
Understanding of security, compliance, and operational best practices for production AI systems
Understanding of software design patterns and distributed systems principles
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
Remote-first culture, with offices in Seattle and Paris
Company
Docker, Inc
At Docker, we simplify the lives of developers who are making world-changing apps.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$435.86MKey Investors
Bain Capital VenturesTribe CapitalInsight Partners
2022-03-31Series C· $105M
2021-03-16Series B· $23M
2019-11-13Series A· $35M
Leadership Team
Jean-Laurent de Morlhon
Vice President of Software Engineering
Dieu Cao
Head Of Product Management
Recent News
The Hacker News
2025-12-30
2025-12-25
Help Net Security
2025-12-24
Company data provided by crunchbase