2 months ago
Base Salary
$320k - $485k/yr
Responsibilities
- Drive the technical direction for caching infrastructure used across Product and Research
- Design, build, and operate a managed Redis fleet supporting millions of users
- Build client libraries and developer-facing abstractions that make correct caching the default
- Design and operate CDC-driven cache invalidation to keep cached data consistent with source-of-truth databases
- Architect caching solutions across GCP, AWS, first-party deployments, and other environments
- Optimize latency, cache hit rates, reliability, and cost efficiency
- Build observability and tooling for understanding and debugging cache behavior
- Partner with Product and Research teams on access patterns and infrastructure needs
- Make build-versus-buy decisions for caching technologies
Requirements
- Significant experience building and operating production distributed systems as a software engineer
- Deep knowledge of caching architectures, invalidation strategies, consistency tradeoffs, and failure modes
- Production experience operating Redis, Memcached, or similar in-memory data stores
- Proficiency in at least one systems programming language such as Go, Rust, Java, or C++, or Python at scale
- Track record leading large, complex infrastructure projects as an engineer or tech lead
- Strong technical leadership and cross-functional collaboration skills
- Preferred: 10+ years building and scaling distributed infrastructure, including 3+ years leading large-scale projects or teams
- Preferred: experience with managed infrastructure platforms, internal services, client libraries or SDKs, multi-cloud or hybrid-cloud deployments, and rapid infrastructure scaling
- Preferred: experience with change data capture such as Debezium or streaming data infrastructure
- Preferred: experience operating Redis Cluster, Valkey, ElastiCache, Memorystore, or similar managed offerings at scale
- Bachelor’s degree or an equivalent combination of education, training, and experience in a relevant field
Benefits
- Hybrid work with staff expected in an office at least 25% of the time
- Visa sponsorship may be available, with immigration-lawyer support
- Competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space
About Anthropic
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.