Software Engineer III, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started.

Come join us for a whale of a ride!

Docker seeks a Software Engineer III to join our new AI Developer Tools team building the future of AI-powered developer productivity. This is an exciting opportunity to work on cutting-edge AI agents and tools that transform how developers write code, debug issues, deploy applications, and respond to incidents—both internally at Docker and for our customers worldwide.

You’ll work at the intersection of AI and developer experience, contributing to production systems that leverage LLMs and AI agents to accelerate developer workflows. You’ll build AI-powered tools such as code review assistants, automated test generators, deployment diagnostics agents, and on-call assistance tools. You’ll also contribute to the self-service platform that enables teams across Docker to rapidly build and deploy their own AI developer tools.

Your work will directly impact how Docker’s engineers build and operate services powering 20 million users. As these tools mature and demonstrate value, you’ll participate in transforming them into commercial offerings for Docker’s customers.

This is a hands-on role where you’ll work with increasing independence, collaborate closely with engineers across multiple teams, and ship production features in a fast-paced, remote-first environment that values rapid iteration and continuous learning.

You’re excited about AI and its potential to transform developer productivity. You have solid experience building production systems with AI agents, and you understand the nuances of prompt engineering, agent orchestration, and evaluating AI system effectiveness. You have strong software engineering fundamentals and can work independently on day-to-day tasks with general guidance on new projects. You think in terms of products and platforms, balancing technical excellence with pragmatism to ship iteratively while maintaining high quality bars.

You’re comfortable navigating the rapidly evolving AI/LLM landscape, experimenting with new tools and approaches, and making pragmatic technology choices. You exercise good judgment within defined processes and demonstrate emerging strategic thinking skills. You’re collaborative, communicate clearly in remote environments, build effective relationships across multiple teams, and can act as a resource for teammates when they need help. You take ownership of your work from design through deployment and operations.

• 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, 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…