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-...