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Staff+ Software Engineer, Databases at Anthropic

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

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Anthropic seeks an experienced Software Engineer to build and scale the database infrastructure that powers Claude and its research workloads. The role involves architecting and operating large‑scale database solutions across GCP, AWS, and hybrid cloud environments, ensuring reliability, performance, and cost efficiency for millions of users and frontier AI research. The candidate will lead infrastructure projects, collaborate cross‑functionally, and help shape the database strategy for a rapidly growing AI company.

Salary

USD 320,000 - 485,000

Requirements

Skills

  • Significant experience as a software engineer building and operating production database or storage systems
  • Deep knowledge of distributed database architectures and OLTP systems at scale
  • Proficiency with SQL and at least one major relational or distributed database engine (e.g., PostgreSQL, MySQL, Spanner, CockroachDB, DynamoDB)
  • Track record of leading large, complex infrastructure projects as an engineer or tech lead
  • Ability to balance moving quickly with the reliability needs of production systems
  • Strong technical leadership and cross-functional collaboration skills

Responsibilities

  • 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-vs-buy decisions for database technologies

Technologies

GCPAWSfirst-party deploymentsthird-party deploymentsPostgreSQLMySQLSpannerCockroachDBDynamoDBRedisTemporalvector databasesDebeziumTiDBAlloyDBchange data capturemigration toolingbackfillCDC-driven cache invalidationmulti-cloudhybrid cloud

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