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

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Developer Productivity team owns the path from pull request to production — review automation, CI, the merge queue, the deploy pipeline, and the policy that gates each step. This role focuses on integrating those pieces into a single fast, predictable system that scales with code shipping into Claude and research infrastructure. The team uses Claude heavily in development workflows, and agentic coding is both how the team works and part of what you'll be building.

Responsibilities

• 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 platform teams
• 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 ships
• Partner with platform, delivery infrastructure, and security teams; 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

Requirements

• 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

Preferred qualifications

• 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

Representative projects

• Reducing p50 merge-to-production time by re-architecting the merge queue and test selection strategy
• Building an AI-assisted review layer that auto-approves low-risk changes and routes high-risk ones to the right reviewers
• Designing a flaky-test quarantine and burndown system that returned CI signal to >99% reliability
• Standing up canary and progressive rollout for a service fleet, with automated rollback on health regression
• Authoring the RFC and migration plan for a build-graph or repository topology change adopted across multiple teams

Compensation

• Annual Salary: $405,000 - $485,000 USD

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Will correlate with internal job level requirements for the position
• Location-based hybrid policy: currently, all staff are expected to be in one of the offices at least 25% of the time
• Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to assist

How we're different

Anthropic works as a cohesive team on a few large-scale research efforts and values impact, collaboration, and strong communication. The team emphasizes the safe and beneficial development of AI and encourages diverse perspectives.