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Staff+ Software Engineer, Caching at Anthropic

Hybrid - San Francisco, CA

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We're looking for experienced engineers to build Anthropic's cache layer as a managed service from the ground up. The Caching team is part of the Databases organization and owns the systems that keep Anthropic's hottest paths fast and correct: a managed Redis fleet, client libraries used across the company, and CDC-driven cache invalidation that solves one of distributed systems' hardest problems the right way.

Salary

USD 320,000 - 485,000

Requirements

Skills

  • Significant experience as a software engineer building and operating production distributed systems
  • Deep knowledge of caching architectures, including invalidation strategies, consistency tradeoffs, and failure modes
  • Experience operating Redis, Memcached, or similar in-memory data stores in production
  • Proficiency in at least one systems programming language (e.g., Go, Rust, Java, C++) or Python at scale
  • 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 caching infrastructure used across Product and Research
  • Design, build, and operate a managed Redis fleet that scales to support millions of users across Claude's product ecosystem
  • Build client libraries and developer-facing abstractions that make correct caching the default for Anthropic engineers
  • Design and operate CDC-driven cache invalidation that keeps cached data consistent with source-of-truth databases
  • Architect caching solutions that operate across GCP, AWS, first-party deployments, and other environments
  • Optimize latency, hit rates, reliability, and cost efficiency on Anthropic's hottest paths
  • Build observability and tooling that makes cache behavior easy to understand and debug
  • Partner with product and research teams to understand access patterns and build infrastructure that accelerates their work
  • Make build-vs-buy decisions for caching technologies

Technologies

RedisMemcachedCDC-driven cache invalidationGCPAWSValkeyElastiCacheMemorystoreDebeziumstreaming data infrastructureGoRustJavaC++Python

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