Database & Infrastructure Engineer (Full Stack)

About KledKled is building the largest opt-in human data network in the world. We are not a labeling firm. We are not a task marketplace. We are a consumer application where people upload their real photos, videos, and documents and get paid continuously. We then filter, standardize, and license that data to frontier AI labs and enterprises that need fresh, rights-aware training data. Since launching our mobile app in 2026, we have: Reached #1 on the App Store (Finance) with 0 paid marketing Scaled to 600,000+ active data contributors Processed 5M uploads per day Raised $15M+ from investors behind SpaceX, Airbnb, Coinbase, xAI, OpenAI, Anthropic, Spotify, Lyft, Uber, and more Our mission is to let anyone download the app and earn a real living wage from uploading their data. About The RoleDatabase & Infrastructure Engineer (Full-Stack Systems) We process millions of files per day and store hundreds of millions of media records. You will: Optimize and scale our PostgreSQL (Supabase) infrastructure Design indexing, partitioning, and query strategies for large-scale media datasets Improve performance across ingestion, enrichment, and retrieval pipelines Build internal tools for querying and auditing large datasets Create customer-ready dataset sample packs Design and automate dataset exports and delivery pipelines (S3, secure transfers, custom formats) Work across backend, ML, and product teams to support new features This is not just DBA work. You’ll help design the systems that move and package the data powering frontier AI labs. WE’RE LOOKING FORStrong 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