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Staff Software Engineer, Databases

Anthropic creates reliable, interpretable, and steerable AI systems, focusing on safe and beneficial AI development for users and society.
$405,000 - $485,000
Backend
Staff Software Engineer
Hybrid
501 - 1,000 Employees
8+ years of experience
AI

Job Description

Anthropic is seeking a Staff Software Engineer to lead their database infrastructure initiatives, supporting both Claude's product offerings and cutting-edge AI research. This role presents a unique opportunity to tackle database challenges at unprecedented scale, working at the intersection of AI technology and infrastructure engineering.

The position involves architecting and operating database systems that enable millions of users to interact with Claude while supporting advanced AI research initiatives. You'll be responsible for developing comprehensive database strategies that can handle billions of API requests and create storage solutions that work seamlessly across multiple cloud platforms including GCP and AWS.

As a Staff Engineer, you'll lead technical direction for database solutions across both Product and Research teams, designing systems that can scale through 100x+ growth while maintaining reliability and performance. The role requires deep expertise in distributed database architectures and OLTP systems, with experience scaling databases in high-growth environments.

The ideal candidate brings 8+ years of experience in building and scaling database systems, with strong technical leadership skills and the ability to collaborate across functions. While prior AI/ML infrastructure experience isn't required, deep infrastructure/databases expertise from any domain is highly valued. The position offers competitive compensation ($405,000 - $485,000), along with benefits including equity donation matching, generous leave policies, and flexible working arrangements.

Working at Anthropic means joining a cohesive team focused on advancing steerable, trustworthy AI through empirical science. The company values impact and collaboration, hosting frequent research discussions to ensure high-impact work. This role is based in San Francisco with a hybrid work model requiring at least 25% office presence, and visa sponsorship is available for qualified candidates.

This is an opportunity to contribute to groundbreaking AI development while solving complex database challenges at scale. You'll be part of a mission-driven organization working to ensure AI systems are safe and beneficial for users and society as a whole.

Last updated 3 days ago

Responsibilities For Staff Software Engineer, Databases

  • Set the technical direction for database solutions used across Product and Research
  • Design and implement database solutions that scale to support millions of users
  • Build and scale database systems through 100x+ growth while maintaining reliability and performance
  • Architect data storage solutions across GCP, AWS, and various deployment models
  • Develop database infrastructure for both product and research workloads
  • Partner with product and research teams to understand data requirements
  • Optimize database performance, reliability, and cost efficiency at massive scale
  • Make critical build vs. buy decisions for database technologies

Requirements For Staff Software Engineer, Databases

PostgreSQL
MySQL
Redis
  • 8+ years of experience building and scaling database systems
  • Deep expertise in distributed database architectures and OLTP systems at scale
  • Experience scaling databases through massive growth at high-growth companies
  • Ability to balance startup speed with production system reliability
  • Excellence in technical leadership and cross-functional collaboration
  • Bachelor's degree in a related field or equivalent experience

Benefits For Staff Software Engineer, Databases

Visa Sponsorship
  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Office space for collaboration
  • Visa sponsorship available

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