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Staff Software Engineer, AI Developer Tools

Docker· Engineering
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Remote$170.4k - $275.6kFull-timePosted 5d ago

About the role

Staff Software Engineer responsible for setting the technical direction for AI-powered developer tools and a self-service AI developer tools platform. Focus areas include AI agents, LLM integration, and platform infrastructure to prototype, deploy, and scale Docker's AI developer tooling.

Responsibilities

  • Set technical direction and own architecture for AI-powered developer tools and the self-service platform within the team's roadmap
  • Turn ambiguous problems into clear requirements, plans, and staged decisions; document assumptions
  • Establish patterns, standards, and best practices for LLM integration, agent development, and production AI systems
  • Shape platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling
  • Design reliable, scalable infrastructure for hosting AI agents and developer tools
  • Recommend AI technology choices, LLM provider strategies, and agent orchestration approaches with explicit trade-offs
  • Work with Senior Manager and Principal engineers to align technical decisions with business goals
  • Design, build, and operate production AI agents for developer productivity (code review, test generation, deployment diagnostics, on-call automation)
  • Build self-service platform capabilities to reduce time-to-production for new AI tools
  • Build systems to speed adoption of AI-native development tools (Claude Code, Codex)
  • Set reliability, security, performance standards for AI systems (SLOs, monitoring, incident response, cost management)
  • Design integrations between AI tools and existing infra (CI/CD, observability, deployment systems)
  • Participate in on-call rotation to improve tooling and alerting
  • Evaluate emerging AI/LLM technologies and determine adoption vs build decisions
  • Define metrics for AI tool effectiveness (adoption, productivity, satisfaction)
  • Lead cross-team delivery, surface risks early, collaborate with Infra, Security, Data on standards
  • Mentor engineers on AI/LLM integration, agent development, platform practices
  • Lead design reviews and raise quality of design and code reviews
  • Create reusable patterns, ADRs, and documentation for broader reuse
  • Help turn AI-assisted engineering practices into shared workflows and controls
  • Possibly participate in on-call rotation as needed

Qualifications

  • 8+ years of software engineering experience with demonstrated technical leadership on production systems at scale
  • Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
  • Strong understanding of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical AI in software development workflows
  • Track record of designing and building scalable distributed systems and developer-facing platforms
  • Production experience with cloud-native infrastructure (Kubernetes, GitOps, observability, CI/CD)
  • Proficiency in Go (preferred), Rust, Java, or Python with strong fundamentals
  • Experience designing developer tools, platform systems, or internal tools used by other teams
  • Ability to clarify requirements and constraints with stakeholders before designing
  • Track record of leading complex initiatives across teams and influencing without authority
  • Strong product and platform judgment balancing outcomes, UX, and trade-offs
  • Clear written and spoken communication suitable for remote, async-first company
  • Mentoring experience for other engineers
  • Ownership mindset with bias for action in ambiguous, fast-moving environments
  • Bachelor’s degree in CS/Engineering or related field, or equivalent experience

Skills

Required:Technical leadershipLLM integrationAI agent developmentPlatform engineeringGo (preferred) / Rust / Java / Python

Benefits

  • Remote-first by design – work from home with offices in Seattle and Paris
  • Flexible schedule
  • Generous PTO, quarterly Whaleness Days, end-of-year Whaleness break
  • Home office setup support
  • Technology stipend (US$100 net per month)
  • Annual learning & development stipend
  • 16 weeks paid parental leave after six months
  • Equity for all full-time employees
  • Comprehensive health, retirement, and holiday benefits (varies by country)
  • Docker swag
Last updated Oct 21, 2026. Interested? Apply on the company site.
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Accelerated Container Application Development

Docker is a platform designed to help developers build, share, and run container applications. We handle the tedious setup, so you can focus on the code.

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