Internal AI Job Board

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

Anthropic - San Francisco, CA

This role is part of the Internal AI Job Board, a curated list of jobs for teams building or operating internal AI systems. Follow the original role page for the employer description, requirements, and application flow.

Compensation: Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination

Responsibilities

• Every engineer at Anthropic depends on the path from pull request to production. The Developer Productivity team owns that path end to end — review automation, CI, the merge queue, the deploy pipeline, and the policy that gates each step. These pieces exist today; the opportunity is to integrate them into a single fast, predictable system that scales with the volume of code shipping into Claude and our research infrastructure.
• In this role, you'll be responsible for making "time from push to healthy in production" a metric the whole company can rely on. You'll shape the CI and repository topology that best serves our velocity, build AI-assisted review that keeps confidence high as PR volume grows, and partner closely with platform, security, and delivery infrastructure teams on the substrate underneath. This is a tech-lead-scope IC role with broad cross-team influence — you'll represent Developer Productivity in org-wide pipeline decisions and help other teams adopt the standards you set.
• We use Claude heavily in our own development workflows, and this team is at the center of that: agentic coding is both how we work and part of what you'll be building.
• Own the build, test, merge, and deploy pipeline end to end — what runs on each PR, what auto-approves, what gates merge, and how a change progresses to running healthy in production
• 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 — in partnership with the platform teams who own the underlying substrate
• 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

Qualifications

• Significant backend or developer-infrastructure engineering experience, with hands-on responsibility for a high-leverage CI/CD, merge queue, or land pipeline at scale
• Proficiency in Python and at least one statically-typed systems language (e.g., 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

Apply on the original posting