Senior Software Engineer, Databases

Anthropic•San Francisco, CA

3h•Hybrid

About The Position

Anthropic’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. 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.

Requirements

Have 6+ years (not including internships or co-ops) of experience in a Software Engineer role, building and scaling database systems
Have 1+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams
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

Nice To Haves

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

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