Database & Infrastructure Engineer (Full Stack)

Kled AI; California; On-site; USD 150,000 - 250,000; Full time

Job summary

Kled AI is hiring a Database & Infrastructure Engineer (Full-Stack Systems) to scale our PostgreSQL/Supabase backend and manage hundreds of millions of media records. You will architect indexing, partitioning, and efficient queries while improving ingestion, enrichment, and retrieval pipelines.

You’ll build internal tools, export datasets, and collaborate with backend, ML and product teams to power frontier AI labs.

Qualifications

• Strong PostgreSQL expertise with indexing and partitioning.
• Experience with large datasets (100M+ records preferred).
• Knowledge of storage systems (S3 or similar).
• Backend experience using TypeScript or Python.
• Ability to build internal tooling and automation scripts.
• Comfort moving between database, backend and infra work.

Responsibilities

• Scale and optimize PostgreSQL/Supabase infrastructure.
• Design indexing, partitioning and query strategies for large media datasets.
• Improve ingestion, enrichment and retrieval pipelines.
• Build internal tools for querying and auditing datasets.
• Collaborate with backend, ML and product teams on new features.

Skills

PostgreSQL

Large datasets

Storage systems

Backend development

Scripting/Automation

Cross-team collaboration

Tools

Supabase

S3

Deno/TypeScript

Python

Job description

About Kled

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 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 Role

Database & 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 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

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

Current Stack

Backend

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

Frontend

• SwiftUI (migrating to Flutter)

Compensation

• Base salary: $150,000 - $250,000
• $750,000 – $1,500,000 equity

We move fast and work hard.

Growth Opportunity

• 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

Compensation Range: $150K - $250K