Docker, Inc

Software Engineer II, AI Developer Tools

Docker, Inc

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $132,000 - $181,500 per year

Job Level

JuniorMid-Level

Tech Stack

AWSAzureCloudDistributed SystemsDockerGoGoogle Cloud PlatformJavaMicroservicesPythonRust

About the role

  • 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
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
GoRustJavaPythonAI/ML conceptsLLM APIsprompt engineeringcloud platformsdistributed systemsmicroservices
Soft skills
problem-solvingcommunicationcollaborationself-motivationeagerness to learn