Staff+ Software Engineer, Caching

About Anthropic

Anthropics 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.

About the role

Were looking for experienced engineers to build Anthropics cache layer as a managed service from the ground up. The Caching team is part of the Databases organization and owns the systems that keep Anthropics hottest paths fast and correct: a managed Redis fleet client libraries used across the company and CDC-driven cache invalidation that solves one of distributed systems hardest problems the right way.

This is a foundational role on a small team with outsized leverage. Every millisecond you take off a hot path is multiplied across every Claude request. Youll set the technical direction for caching at Anthropic from the data plane to the developer experience and youll work closely with product and research teams to make caching something engineers get for free rather than something they have to think about.

Key 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 Claudes 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 Anthropics 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

Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure expertise from any domain.

Logistics

Minimum education: Bachelors degree or an equivalent combination of education training and/or experience

Required field of study:A field relevant to the role as demonstrated through coursework training or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.

Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.

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. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policy for using AI in our application process.