Staff Software Engineer, Anthropic

• Experience building and operating large-scale backend services or distributed systems in production
• Proficiency in Go, Python, Rust, or TypeScript
• Deep experience with developer tooling, CI/CD, test infrastructure, or deployment systems
• Experience with cloud infrastructure and container orchestration
• Experience leading large, complex technical projects across teams, from an ambiguous problem to a tool people use
• Clear written and verbal communication, with experience supporting internal partner teams
• Interest in Anthropic's mission of building safe, beneficial AI

Desirable

• As of May 2026, Claude authored more than 80% of the code we merge. Writing a change is fast now, and the hard part is knowing it's correct and safe to ship. Platform Acceleration builds the internal tools that close that gap for Anthropic's product engineers, who own the Claude API, our SDKs, and the rest of the Claude Platform. We work like a small product team whose customers are other Anthropic engineers
• We're looking for Staff+ engineers with a backend and infrastructure background who care about developer experience and have built tools other engineers rely on. We prefer candidates who can work from our San Francisco office, and we'll also consider candidates based in Seattle
• Own the technical strategy and roadmap for your area, and make sure its hardest problems get solved, by you or through others
• Stay hands-on: design, build, and operate the tools that help Platform teams ship code faster
• Define what it takes to trust a change, including changes written by Claude, and build the tooling that holds that bar before and after merge
• Build agents that take on repetitive engineering work, such as diagnosing failures, fixing broken tests, and running migrations
• Embed with partner teams to find their biggest sources of friction, validate a solution with them, and turn the fix into a product other teams can adopt
• Measure developer experience and adoption, and use the data to decide what to build next
• Move between building new tools and improving the shared systems teams already depend on, as priorities shift
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team