Staff Software Engineer, Developer Productivity (CI/CD) - Claude Code na Anthropic

Híbrido - San Francisco, CA

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Anthropic’s Developer Productivity team owns the end-to-end path from pull request to production, focusing on CI/CD, review automation, merge queue, deploy pipeline, and policy. As a Staff Software Engineer, you will shape the CI and repository topology, build AI-assisted code review, and partner with platform, security, and delivery infrastructure teams to improve pipeline reliability and reduce time from push to healthy production.

Salary

USD 405,000 - 485,000

Requirements

Skills

  • Significant backend or developer-infrastructure engineering experience with high-leverage CI/CD, merge queue, or land pipeline at scale
  • Proficiency in Python and at least one statically-typed systems language (Go or Rust)
  • Experience operating CI/CD or release systems through production incidents, including writing postmortems and driving remediations
  • Demonstrated ability to work across team boundaries building consensus with platform, security, and product engineering stakeholders
  • Comfort using AI coding tools as a daily part of your workflow, with informed opinions on where they provide leverage
  • 7+ years of backend or developer-infrastructure experience
  • Experience with Bazel or similar build-graph / test-targeting systems at monorepo scale
  • Experience with progressive delivery or release engineering at scale (canary analysis, automated rollback, health-gated promotion)
  • A track record of leading—or making the well-reasoned case against—a repo split, monorepo extraction, or comparable scope-boundary migration
  • A history of authoring engineering policy or paved-path tooling that other teams adopted voluntarily
  • Familiarity with Kubernetes, Buildkite, GitHub Actions, or comparable CI/deploy substrates
  • Interest in the safe and beneficial development of AI
  • Bachelor’s degree or equivalent combination of education, training, and/or experience

Responsibilities

  • Own the build, test, merge, and deploy pipeline end to end
  • Drive down and defend "time from push to healthy in prod" as a core engineering metric
  • Design and tune AI-assisted code review so confidence-to-land scales with PR volume
  • Build the deploy and release path—canary, progressive rollout, health checks, automated rollback
  • Improve test reliability by quarantining, root-causing, and retiring intermittent failures
  • Shape CI and repository topology (build graph, test targeting, scope boundaries) to match how the company actually ships
  • Partner with platform, delivery infrastructure, and security teams, and represent Developer Productivity in cross-org pipeline decisions
  • Design processes (postmortem review, incident response, on-call) that help the team operate reliably and never fail the same way twice

Technologies

PythonGoRustBazelKubernetesBuildkiteGitHub ActionsCI/CDMerge QueueDeploy Pipeline

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