Staff+ Software Engineer, Caching

Job summary

ABOUT Ant*** Ant***’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Benefits

Qualifications

• We're looking for experienced engineers to build Ant***'s cache layer as a managed service from the ground up.
• 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
• 10+ years building and scaling distributed infrastructure, with 3+ years leading large-scale projects or teams
• Experience building managed infrastructure platforms or internal services consumed by many engineering teams
• Experience with change data capture (Debezium or similar) or streaming data infrastructure
• Experience operating Redis Cluster, Valkey, ElastiCache, Memorystore, or similar managed offerings at scale

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 Ant*** 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 Ant***'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

Skills

Degrees

Industry