Database & Infrastructure Engineer (Full Stack)

• Strong PostgreSQL expertise (indexing, partitioning, performance tuning) • Experience working with large datasets (100M+ records preferred) • Deep understanding of storage systems (S3 or similar object storage) • Strong backend experience (TypeScript, Python, or similar) • Comfort building internal tooling and automation scripts • Ability to move between database, backend, and infrastructure work

Bonus:

• Experience with data pipelines (ETL, transformation layers) • Experience with vector databases (pgvector, FAISS, Pinecone) • Experience delivering structured datasets to enterprise customers • DevOps experience (CI/CD, infra automation) • Experience working with media-heavy systems

Backend • PostgreSQL (Supabase) — 188M+ media files • S3 storage • Deno / TypeScript edge functions • Python ML pipelines

Frontend • SwiftUI (migrating to Flutter)

You’ll join a team operating at the frontier of applied AI data infrastructure.

In this role, you’ll have the opportunity to:

• Own core systems that power one of the largest human data networks in the world • Design infrastructure that directly influences what data trains next-generation AI models • Build at real scale - millions of uploads per day, adversarial environments, global contributors • Ship alongside a team that has built marketplaces, AI systems, and products used by millions

If you’re excited to move fast, build systems that matter, and help define how human data powers frontier AI, let’s talk.