Software Engineer II; 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 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 help 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 execution role where you’ll collaborate closely with experienced engineers, learn rapidly about AI/LLM technologies, 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 may be early in your career with AI/ML technologies, but you’re eager to learn about LLMs, prompt engineering, and AI agents through hands-on work. You have solid software engineering fundamentals and experience building backend systems or APIs. You’re comfortable with ambiguity, enjoy experimenting with new technologies, and learn quickly through iteration.

You take ownership of your work, communicate clearly in remote environments, and actively seek feedback to improve. You think about user experience and care about building tools that developers love to use. Most importantly, you’re collaborative, ask great questions, and thrive in a supportive team environment where continuous learning is encouraged.

• Build AI Developer Tool Features: Implement features for AI-powered developer tools such as code review assistants, test generators, deployment diagnostics, and on-call assistance tools
• Implement LLM Integrations: Build integrations with LLM APIs (OpenAI, Anthropic, etc.) such as prompt engineering, response handling, error management, and performance optimization
• Contribute to Platform Infrastructure: Help build self-service platform capabilities such as deployment pipelines, observability integration, security controls, and operational tooling that enable teams to rapidly deploy AI developer tools
• Support AI-Native Development Adoption: Contribute to tools and programs that help teams adopt AI developer tools such as Claude Code, Cursor, and Warp across Docker's engineering organization
• Write Quality Code: Develop well-tested code with unit and integration tests; follow team coding standards and participate actively in code reviews to learn best practices
• Maintain Production Systems: Assist with monitoring, alerting, and troubleshooting production AI systems; participate in incident response and learn operational best practices
• Collaborate and Learn: Work closely with Senior Engineers and Principal Engineer on technical designs; ask questions, seek feedback, and continuously improve your skills in AI/LLM technologies and platform engineering
• Document Your Work: Create clear technical documentation for features you build; contribute to team knowledge base and help future team members understand systems
• Participate in…