Software Engineer, Databases San Francisco, CA NY

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.

• 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

• Have 10+ years (not including internships or co‑ops) of experience in a Software Engineer role, building and scaling database systems
• Have 3+ years (not including internships or co‑ops) 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

• 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

Note:

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

Final date to receive applications:
None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

$405,000 - $485,000 USD

Education requirements:

We require at least a Bachelor's degree in a related field or equivalent experience.

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 sponsor visas. If we make you an offer, we will make every reasonable effort to get you a visa.

We encourage you to apply even if you do not believe you meet every single qualification.

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