Staff+ Software Engineer, Databases · Anthropic

Sat, 18 Apr 2026 15:53:43 GMT
Engineering

Anthropic · San Francisco, CA | New York City, NY | Seattle, WA · $320,000-$485,000 USD · hybrid

We're looking for experienced engineers to build and scale the database infrastructure that powers both Claude's product offerings and Anthropic's research initiatives.

As a Software Engineer on the Databases team, you will architect and operate database systems that both enable millions of users to interact with Claude and support cutting-edge AI research.

This is a unique opportunity to tackle database challenges at unprecedented scale. You'll develop the database strategy for Anthropic, design systems that handle billions of API requests, create storage solutions that work seamlessly across GCP, AWS, and diverse deployment models, and build the reliable data layer that accelerates research experimentation.

Responsibilities:

Drive the technical direction for database solutions used across Product and Research

Design and implement database solutions that scale to support millions of users across Claude's product ecosystem

Build and scale database systems through 100x+ growth while maintaining reliability and performance

Architect data storage solutions that work seamlessly across GCP, AWS, first-party deployments, third-party deployments, and other environments

Develop database infrastructure that serves both product and research workloads with different performance characteristics

Partner with product and research teams to understand data requirements and build infrastructure that accelerates innovation

Optimize database performance, reliability, and cost efficiency at massive scale

Make critical build vs. buy decisions for database technologies

You might be a good fit if you:

Have 10+ years of experience in a Software Engineer role, building and scaling database systems

Have 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead

Possess deep expertise in distributed database architectures and OLTP systems at scale

Have successfully scaled databases through massive growth at high-growth companies

Can balance the speed of a startup environment with the reliability needs of production systems

Excel at technical leadership and cross-functional collaboration

Are passionate about building the data layer that enables next-generation AI capabilities

Strong candidates may also have:

Deep expertise scaling PostgreSQL, MySQL, DynamoDB, or similar database systems

Experience with Redis, Temporal, vector databases, or async job processing frameworks

Experience building multi-cloud or hybrid cloud database solutions

Knowledge of database orchestration and automation at scale

Background at companies known for database excellence

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