{"schemaVersion":"jobsearcher.job.v1","id":"2e6af669fbe95e1a2a9b80a7","url":"https://jobsearcher.com/jobs/2e6af669fbe95e1a2a9b80a7","canonicalUrl":"https://jobsearcher.com/jobs/2e6af669fbe95e1a2a9b80a7","title":"Database & Infrastructure Engineer (Full Stack)","description":"About KledKled is building the largest opt-in human data network in the world.\r\nWe are not a labeling firm. We are not a task marketplace.\r\nWe are a consumer application where people upload their real photos, videos, and documents and get paid continuously.\r\nWe then filter, standardize, and license that data to frontier AI labs and enterprises that need fresh, rights-aware training data.\r\nSince launching our mobile app in 2026, we have:\r\nReached #1 on the App Store (Finance) with 0 paid marketing\r\nScaled to 600,000+ active data contributors\r\nProcessed 5M uploads per day\r\nRaised $15M+ from investors behind SpaceX, Airbnb, Coinbase, xAI, OpenAI, Anthropic, Spotify, Lyft, Uber, and more\r\nOur mission is to let anyone download the app and earn a real living wage from uploading their data.\r\nAbout The RoleDatabase & Infrastructure Engineer (Full-Stack Systems)\r\nWe process millions of files per day and store hundreds of millions of media records.\r\nYou will:\r\nOptimize and scale our PostgreSQL (Supabase) infrastructure\r\nDesign indexing, partitioning, and query strategies for large-scale media datasets\r\nImprove performance across ingestion, enrichment, and retrieval pipelines\r\nBuild internal tools for querying and auditing large datasets\r\nCreate customer-ready dataset sample packs\r\nDesign and automate dataset exports and delivery pipelines (S3, secure transfers, custom formats)\r\nWork across backend, ML, and product teams to support new features\r\nThis is not just DBA work.\r\nYou’ll help design the systems that move and package the data powering frontier AI labs.\r\nWE’RE LOOKING FORStrong PostgreSQL expertise (indexing, partitioning, performance tuning)\r\nExperience working with large datasets (100M+ records preferred)\r\nDeep understanding of storage systems (S3 or similar object storage)\r\nStrong backend experience (TypeScript, Python, or similar)\r\nComfort building internal tooling and automation scripts\r\nAbility to move between database, backend, and infrastructure work\r\nBonus:Experience with data pipelines (ETL, transformation layers)\r\nExperience with vector databases (pgvector, FAISS, Pinecone)\r\nExperience delivering structured datasets to enterprise customers\r\nDevOps experience (CI/CD, infra automation)\r\nExperience working with media-heavy systems\r\nCurrent StackBackendPostgreSQL (Supabase) — 188M+ media files\r\nS3 storage\r\nDeno / TypeScript edge functions\r\nPython ML pipelines\r\nFrontendSwiftUI (migrating to Flutter)\r\nCompensationBase salary: $150,000 - $250,000\r\n$750,000 – $1,500,000 equity\r\nWe move fast and work hard.\r\nGrowth OpportunityOwn core systems that power one of the largest human data networks in the world\r\nDesign infrastructure that directly influences what data trains next-generation AI models\r\nBuild at real scale - millions of uploads per day, adversarial environments, global contributors\r\nShip alongside a team that has built marketplaces, AI systems, and products used by millions\r\nCompensation Range: $150K - $250K#J-18808-Ljbffr","company":"Kled Ai","rawCompany":"kled ai","city":"Sacramento","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-11-04T02:30:17.974Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Database & Infrastructure Engineer (Full Stack)","description":"About KledKled is building the largest opt-in human data network in the world.\r\nWe are not a labeling firm. We are not a task marketplace.\r\nWe are a consumer application where people upload their real photos, videos, and documents and get paid continuously.\r\nWe then filter, standardize, and license that data to frontier AI labs and enterprises that need fresh, rights-aware training data.\r\nSince launching our mobile app in 2026, we have:\r\nReached #1 on the App Store (Finance) with 0 paid marketing\r\nScaled to 600,000+ active data contributors\r\nProcessed 5M uploads per day\r\nRaised $15M+ from investors behind SpaceX, Airbnb, Coinbase, xAI, OpenAI, Anthropic, Spotify, Lyft, Uber, and more\r\nOur mission is to let anyone download the app and earn a real living wage from uploading their data.\r\nAbout The RoleDatabase & Infrastructure Engineer (Full-Stack Systems)\r\nWe process millions of files per day and store hundreds of millions of media records.\r\nYou will:\r\nOptimize and scale our PostgreSQL (Supabase) infrastructure\r\nDesign indexing, partitioning, and query strategies for large-scale media datasets\r\nImprove performance across ingestion, enrichment, and retrieval pipelines\r\nBuild internal tools for querying and auditing large datasets\r\nCreate customer-ready dataset sample packs\r\nDesign and automate dataset exports and delivery pipelines (S3, secure transfers, custom formats)\r\nWork across backend, ML, and product teams to support new features\r\nThis is not just DBA work.\r\nYou’ll help design the systems that move and package the data powering frontier AI labs.\r\nWE’RE LOOKING FORStrong PostgreSQL expertise (indexing, partitioning, performance tuning)\r\nExperience working with large datasets (100M+ records preferred)\r\nDeep understanding of storage systems (S3 or similar object storage)\r\nStrong backend experience (TypeScript, Python, or similar)\r\nComfort building internal tooling and automation scripts\r\nAbility to move between database, backend, and infrastructure work\r\nBonus:Experience with data pipelines (ETL, transformation layers)\r\nExperience with vector databases (pgvector, FAISS, Pinecone)\r\nExperience delivering structured datasets to enterprise customers\r\nDevOps experience (CI/CD, infra automation)\r\nExperience working with media-heavy systems\r\nCurrent StackBackendPostgreSQL (Supabase) — 188M+ media files\r\nS3 storage\r\nDeno / TypeScript edge functions\r\nPython ML pipelines\r\nFrontendSwiftUI (migrating to Flutter)\r\nCompensationBase salary: $150,000 - $250,000\r\n$750,000 – $1,500,000 equity\r\nWe move fast and work hard.\r\nGrowth OpportunityOwn core systems that power one of the largest human data networks in the world\r\nDesign infrastructure that directly influences what data trains next-generation AI models\r\nBuild at real scale - millions of uploads per day, adversarial environments, global contributors\r\nShip alongside a team that has built marketplaces, AI systems, and products used by millions\r\nCompensation Range: $150K - $250K#J-18808-Ljbffr","datePosted":"2026-11-04T02:30:17.974Z","dateModified":"2026-11-04T02:30:17.974Z","hiringOrganization":{"@type":"Organization","name":"Kled Ai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sacramento","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2e6af669fbe95e1a2a9b80a7"},"url":"https://jobsearcher.com/jobs/2e6af669fbe95e1a2a9b80a7"}}