Software Engineer II, AI Developer Tools Job at Docker (Seattle)

Software Engineer II, AI Developer Tools

Docker

Location:
United States , Seattle

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

128000.00 - 181500.00 USD / Year

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Job Description:

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.

Job Responsibility:

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 Team Activities: Engage in design discussions, sprint planning, retrospectives, and team activities
contribute ideas for improving developer tools and team processes
Grow Your Expertise: Continuously learn about AI/ML technologies, developer tooling best practices, and platform engineering patterns through hands-on work and mentorship from experienced engineers

Requirements:

2+ years building backend systems, APIs, or developer-facing tools with strong software engineering fundamentals
Proficiency in Go (preferred), Rust, Java, or Python with understanding of data structures, algorithms, and design patterns
Basic understanding of AI/ML concepts with eagerness to learn about LLM APIs, prompt engineering, and AI agent development through hands-on work
Experience with cloud platforms (AWS, GCP, or Azure) and understanding of distributed systems or microservices
Familiarity with CI/CD pipelines, automated testing, version control (Git), and modern development workflows
Strong problem-solving skills with ability to work through technical challenges with guidance from senior engineers
Good communication skills in remote, asynchronous environments with ability to document technical decisions
Collaborative mindset with eagerness to learn from code reviews and feedback
Self-motivated with ability to work autonomously while knowing when to ask for help
Passion for developer tools and user experience
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Nice to have:

Internship or project experience with AI/ML technologies, LLM APIs, or chatbots
Exposure to AI agent frameworks (LangChain, LangGraph, CrewAI) or similar tools
Experience with developer productivity tools, DevOps practices, or platform engineering
Contributions to open source projects or personal projects involving AI tools
Familiarity with Kubernetes, Docker, or container technologies
Knowledge of infrastructure-as-code tools (Terraform, Pulumi) or GitOps patterns
Understanding of observability tools (Prometheus, Grafana) and monitoring best practices
Computer Science degree or equivalent technical education

What we offer:

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

Additional Information:

Job Posted:
February 21, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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