Staff+ Software Engineer, Developer Productivity en Anthropic

Híbrido - San Francisco, CA | New York City, NY | Seattle, WA

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Anthropic’s Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. This role focuses on building and maintaining the end‑to‑end experience for engineers and researchers, from source control and language ecosystems to build and CI infrastructure, and developer acceleration tooling that integrates Claude into engineering workflows.

Salary

USD 405,000 - 625,000

Requirements

Skills

  • Deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environment
  • Strong proficiency in Python, Rust and/or Go
  • Obsessed with developer productivity and reducing friction in the software development lifecycle
  • Experience with container orchestration and infrastructure at scale
  • Excellent communication skills and enjoy supporting internal partners to improve their development experience
  • Excited about designing foundational systems and comfortable working independently on ambiguous, high-impact technical challenges
  • 15+ years of experience in a Software Engineer role, building and operating large-scale developer infrastructure
  • 3+ years of experience leading large scale complex projects or teams as a tech lead
  • Experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management at scale
  • Experience building or operating remote build execution systems (Bazel Remote Execution API, BuildBarn, BuildBuddy, or similar)
  • Experience with Nix/NixOS/Docker and managing large image / package sets at scale
  • Experience building CLI tools, developer-facing services, and GitHub API and automation workflows
  • Bachelor’s degree or an equivalent combination of education, training, and/or experience

Responsibilities

  • 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

Technologies

PythonRustGoCI/CD pipelinesBuildkiteJenkinsGitHub ActionsMerge queue managementBazel Remote Execution APIBuildBarnBuildBuddyNix/NixOSDockerCLI toolsGitHub APIDeveloper-facing servicesContainer orchestration

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