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

Anthropic•San Francisco, NY

2d•Hybrid

About The Position

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.

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

Nice To Haves

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

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 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