Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Go @ 6
Memcached @ 4
Redis @ 4
Python @ 6
GCP @ 4
Java @ 6
Distributed Systems @ 4
Leadership @ 7
AWS @ 4
Rust @ 6
Technical Leadership @ 7
Observability @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic is building reliable, interpretable, and steerable AI systems. The Caching team (part of the Databases organization) owns 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. This role builds the cache layer as a managed service from the ground up, setting technical direction from the data plane to the developer experience and partnering with product and research teams.
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
Minimum qualifications
- 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
Preferred qualifications
- 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
- 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
- Contributions to caching systems, database internals, or related open source projects
Compensation
- Annual Salary: $320,000 - $485,000 USD
Logistics
- Minimum education: Bachelor’s degree or equivalent combination of education/training/experience
- Location-based hybrid policy: staff expected to be in one of Anthropic's offices at least 25% of the time (some roles may require more)
- Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to assist for roles they offer
Other notes
- Prior AI/ML infrastructure experience is not required
- The role emphasizes deep infrastructure expertise, observability, and building developer-facing abstractions