Senior Software Engineer (Databases)

TL;DR

Senior Software Engineer (Databases): Building and scaling database infrastructure for Claude's product offerings and hirify.global's research initiatives with an accent on architecting systems for millions of users and supporting cutting-edge AI research. Focus on developing the database strategy, designing highly scalable data storage solutions across multi-cloud environments, and optimizing performance at massive scale.

Location: Hybrid in San Francisco, CA or New York City, NY. Visa sponsorship is available.

Salary: $320,000–$320,000 USD annually

Company

hirify.global is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems.

What you will do

• Drive 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 that work seamlessly across GCP, AWS, and diverse deployment models.
• Develop database infrastructure that serves both product and research workloads.
• Optimize database performance, reliability, and cost efficiency at massive scale.

Requirements

• 6+ years of experience in a Software Engineer role, building and scaling database systems.
• 1+ years of experience leading large-scale, complex projects or teams.
• Deep expertise in distributed database architectures and OLTP systems at scale.
• Successfully scaled databases through massive growth at high-growth companies.
• Ability to balance the speed of a startup environment with the reliability needs of production systems.
• Excellence at technical leadership and cross-functional collaboration.
• At least a Bachelor's degree in a related field or equivalent experience required.
• Must be able to work in San Francisco, CA or New York City, NY at least 25% of the time.

Nice to have

• Deep expertise scaling PostgreSQL, MySQL, or DynamoDB.
• Experience with Redis, Temporal, or vector databases.
• Experience building multi-cloud or hybrid cloud database solutions.
• Knowledge of database orchestration and automation at scale.

Culture & Benefits

• Competitive compensation and benefits with optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Collaborative environment focused on large-scale AI research.
• Emphasis on impact and advancing long-term goals of steerable, trustworthy AI.