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Staff+ Software Engineer, Caching

Anthropic
Posted a month ago

LOCATION

San Francisco · Hybrid

EXPERIENCE

10+ Years

SALARY

$320K - $485K /year

SKILLS REQUIRED

Distributed SystemsCaching ArchitecturesRedis OperationsCDC InvalidationConsistency and Tradeoffs

Job description

Overview

Build and lead Anthropic’s caching infrastructure as a managed service, including a managed Redis fleet and CDC-driven cache invalidation.

What you'll do

  • Drive the technical direction for caching infrastructure used across Product and Research.
  • Design, build, and operate a managed Redis fleet to scale for Claude’s ecosystem.
  • Build client libraries and developer abstractions to make correct caching the default.
  • Design and operate CDC-driven cache invalidation to keep cached data consistent.
  • Architect caching solutions across GCP, AWS, first-party deployments, and other environments.
  • Optimize latency, hit rates, reliability, and cost efficiency on critical paths.
  • Develop observability and tooling to understand and debug cache behavior.

What you'll need

  • Significant experience building and operating production distributed systems.
  • Deep knowledge of caching architectures, including invalidation, 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 (Go, Rust, Java, C++, or Python at scale).
  • Track record leading large, complex infrastructure projects as an engineer or tech lead.
  • Ability to balance moving quickly with production reliability needs.
  • Strong technical leadership and cross-functional collaboration skills.

Details

  • Location-based hybrid policy: staff are expected to be in one of the company offices at least 25% of the time.
  • Visa sponsorship is available; the company sponsors visas and makes reasonable efforts if an offer is made.

Read the full description and apply on the company’s own careers page.

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Staff+ Software Engineer, Caching