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Staff+ Software Engineer, Developer Productivity

Anthropic - Multiple cities

Engineer Verified Jul 12, 2026 Source: anthropic.com

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 - $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination

Responsibilities

  • Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.
  • Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows.
  • Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams.
  • Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans
  • Define infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through others
  • Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teams
  • Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds
  • Define and implement language ecosystem standards, tooling, and frameworks that drive developer productivity across research and production workloads
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