Staff+ Software Engineer (Databases)

Company: Anthropic

Location: San Francisco, CA | New York City, NY | Seattle, WA

Salary: $320k - $485k per year

Type: Full-time

Posted: 2026-07-11

About this role

  • We’re looking for experienced engineers to build and scale the database infrastructure that powers Claude’s products and Anthropic’s research. As a Software Engineer on the Databases team, you’ll architect and operate the systems that let millions of users interact with Claude while also supporting frontier AI research workloads
  • You’ll help set the database strategy for Anthropic: designing systems that handle billions of API requests, building storage that runs cleanly across GCP, AWS, and a range of deployment models, and creating the reliable data layer that lets research move fast
  • The Databases team spans three areas: the core database platform (data plane and control plane), data movement (migrations, backfill, and change data capture), and caching. We’re hiring across all three
  • Drive the technical direction for database solutions used across Product and Research
  • Design and implement database solutions that scale to support millions of users across Claude’s product ecosystem
  • Build and scale database systems through 100x+ growth while maintaining reliability and performance
  • Build the database platform that lets Anthropic engineers ship without thinking about databases or scaling
  • Architect data storage solutions that operate across GCP, AWS, first-party deployments, third-party deployments, and other environments
  • Develop database infrastructure that serves both product and research workloads with different performance characteristics
  • Build data movement infrastructure (migration tooling, backfill, and change data capture pipelines) that safely consolidates and moves data across the organization
  • Design and operate caching infrastructure, including CDC-driven cache invalidation, that keeps Anthropic’s hottest paths fast and correct
  • Partner with product and research teams to understand data requirements and build infrastructure that accelerates their work
  • Optimize database performance, reliability, and cost efficiency at scale
  • Make build-...

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