Database & Infrastructure Engineer (Full Stack)

• Software EngineerSoftware Engineer $150K – $250K • 0.25% – 1% • Must be willing to move to SF • Kled 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 200,000+ active data contributors• Processed 1.5–3M uploads per day• Raised $5M+ 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. • Database & Infrastructure Engineer (Full-Stack Systems) • We process millions of files per day and store hundreds of millions of media records. • Your job is to make our data layer world-class. • 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 FOR • WE’RE LOOKING FOR • 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 • 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 • CURRENT STACK • Backend • PostgreSQL (Supabase) — 188M+ media files • S3 storage • Deno / TypeScript edge functions • Python ML pipelines • Frontend • SwiftUI (migrating to Flutter) • Base salary: $150,000 - $250,000 • $150,000 – $350,000 equity • Benefits • Relocation support • SF HQ (SOMA) or remote • We move fast and work hard (9–9 culture). • If you're excited to build the world’s largest consumer app, let’s talk! • GROWTH OPPORTUNITY • GROWTH OPPORTUNITY • You’ll join a team operating at the frontier of applied AI data infrastructure. We move fast and work 7 days a week.