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

Anthropic$405K — $485K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Significant backend or developer-infrastructure engineering experience, specifically in CI/CD, merge queue, or land pipeline at scale.
  • Proficiency in Python and a statically-typed systems language like Go or Rust.
  • Experience managing CI/CD systems through production incidents, including writing postmortems.
  • Ability to foster collaboration across teams, particularly with platform, security, and engineering stakeholders.
  • Comfort with AI coding tools and insights into their leverage in development workflows.

Responsibilities

  • Own the full lifecycle of the build, test, merge, and deploy pipeline.
  • Reduce and monitor the 'time from push to healthy in production' as a key metric.
  • Design AI-assisted code review processes to scale confidence with increased PR volume.
  • Build and refine the deployment path in collaboration with platform teams.
  • Enhance test reliability by addressing and eliminating intermittent failures.
  • Shape CI and repository design to align with actual shipping practices within the company.
  • Collaborate and represent Developer Productivity in decision-making on cross-organizational pipeline initiatives.
  • Create reliable operational processes for incident response and postmortem reviews.

Benefits

  • Flexible work schedule with a hybrid model requiring at least 25% in-office attendance.
  • Visa sponsorship available for qualified candidates.
  • Access to resources on AI development and innovative technology tools.
Full Job Description
About the role

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.
Key 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
Minimum 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
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


The annual compensation range for this role is listed below.

For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

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: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

About Anthropic

Anthropic is an artificial intelligence research lab that focuses on developing AI systems that are safe, reliable, and trustworthy. The company was founded in 2019 by Dr. Yoshua Bengio, a leading AI researcher and winner of the Turing Award. Anthropic's research is focused on developing AI systems that can learn from small amounts of data, reason about complex systems, and interact with humans in a natural way. The company is based in New York City and has a team of experienced AI researchers and engineers.
Learn more about Anthropic
Size
50 employees
Industry
Founded
2019

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