Staff+ Software Engineer (Caching)

Join Anthropic as a Staff+ Software Engineer (Caching) and play a foundational role in building and operating a managed Redis fleet, designing client libraries, and architecting caching solutions. You'll drive the technical direction for caching infrastructure, optimize latency and reliability, and partner with product and research teams. Enjoy comprehensive benefits, a competitive salary, and the opportunity to make a significant impact in the AI/ML space.

• Conduire la direction technique pour l'infrastructure de mise en cache utilisée dans les produits et la recherche.
• Concevoir, construire et exploiter une flotte Redis gérée qui évolue pour prendre en charge des millions d'utilisateurs.
• Construire des bibliothèques clientes et des abstractions orientées développeur qui rendent la mise en cache correcte par défaut pour les ingénieurs d'Anthropic.
• 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
• Deep knowledge of caching architectures, including invalidation strategies, consistency tradeoffs, and failure modes
• Track record of leading large, complex infrastructure projects as an engineer or tech lead
• Significant experience as a software engineer building and operating production distributed systems
• Strong technical leadership and cross-functional collaboration skills
• Ability to balance moving quickly with the reliability needs of production systems
• 10+ years building and scaling distributed infrastructure, with 3+ years leading large-scale projects or teams
• Contributions to caching systems, database internals, or related open source projects
• Experience operating Redis Cluster, Valkey, ElastiCache, Memorystore, or similar managed offerings at scale
• Experience with change data capture (Debezium or similar) or streaming data infrastructure
• Experience building managed infrastructure platforms or internal services consumed by many engineering teams
• Experience designing client libraries or SDKs for internal infrastructure
• Experience scaling infrastructure through periods of rapid growth at high-growth companies
• Experience with multi-cloud or hybrid cloud deployments
• Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure expertise from any domain
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed