Software Engineer, Databases

About Anthropic

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 enable millions of users to interact with Claude and support cutting‑edge AI research.

This unique opportunity lets you 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.

• 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 100×+ 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.

• 10+ years of experience in a Software Engineer role, building and scaling database systems.
• 3+ years leading large‑scale, complex projects or teams as an engineer or tech lead.
• Deep expertise in distributed database architectures and OLTP systems at scale.
• Experience successfully scaling databases through massive growth at high‑growth companies.
• Ability to balance the speed of a startup environment with the reliability needs of production systems.
• Excel at technical leadership and cross‑functional collaboration.
• Passion about building the data layer that enables next‑generation AI capabilities.

• Deep expertise scaling Postgre
  
  SQL, MySQL, Dynamo
  
  DB, 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.

Prior AI/ML infrastructure experience is not required; we value deep infrastructure and database expertise from any domain.

Annual Salary $320,000—$485,000 USD.

Minimum education
:
Bachelor’s degree or equivalent in a relevant field.

Minimum years of experience
:
Correlates with internal job level requirements.

Location‑based hybrid policy
:
Staff expected to be in one of our offices at least 25% of the time.

Visa Sponsorship
:
We sponsor visas where possible and will make every reasonable effort to secure sponsorship if you receive an offer.

Benefits
:
Competitive compensation, generous vacation, parental leave, flexible hours, and optional equity donation matching.