Staff AI Developer Tools Engineer

Docker

San Francisco (CA)

Remote

USD 170,000 - 276,000

Full time

2 days ago
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Benefits offered by this job

Remote-first by design
Flexible schedule
Generous PTO
Technology stipend US$100 net per mo.
Learning & development
Parental leave

Job summary

Docker is seeking a Staff Software Engineer to lead AI developer tools and a self-service platform. You will drive architecture for AI agents and tooling, design scalable infrastructure, and mentor engineers across teams.

The role blends AI, developer experience, and platform engineering in a fast-moving, remote-first environment. You will shape deployment, security, and cost-aware patterns, align with business goals, and own critical technical decisions while collaborating with senior leaders

Qualifications

  • 8+ years of software engineering experience with leadership on production systems.
  • Hands-on production experience with LLMs, AI agents, or AI tools.
  • Strong knowledge of cloud-native infra, Kubernetes, GitOps, observability, and CI/CD.
  • Proficiency in Go, Python, Java, or Rust with solid fundamentals.

Responsibilities

  • Set technical direction and own architecture for AI developer tools and self-service platform.
  • Turn ambiguous problems into clear requirements, plans, and staged decisions.
  • Establish patterns and standards for LLM integration and production AI systems.
  • Shape platform capabilities including deployment, observability, security, and cost management.
  • Lead cross-team delivery, mentor engineers, and participate in on-call rotations.

Skills

Engineering leadership
LLM/AI agents
Distributed systems
Kubernetes/GitOps
Go / Python / Java
Stakeholder alignment

Education

Bachelor's degree in CS or related

Job description

Docker is seeking a Staff Software Engineer to lead AI developer tools and a self-service platform. You will drive architecture for AI agents and tooling, design scalable infrastructure, and mentor engineers across teams.

The role blends AI, developer experience, and platform engineering in a fast-moving, remote-first environment. You will shape deployment, security, and cost-aware patterns, align with business goals, and own critical technical decisions while collaborating with senior leaders

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