Database & Infrastructure Engineer (Full Stack)

Kled; United States; Hybrid; USD 150,000 - 250,000; Full time

Job summary

Kled is building the world’s largest opt-in human data network. We seek a Database & Infrastructure Engineer to scale our data layer, optimize PostgreSQL (Supabase), and design efficient storage and retrieval for vast media datasets.

You will work across backend, ML, and product teams to deliver robust data infrastructure, build internal tooling, and craft secure delivery pipelines that power frontier AI training data.

Qualifications

• Strong PostgreSQL expertise including indexing and partitioning.
• Experience with very large datasets (100M+ records).
• Deep understanding of object storage (S3 or equivalent).
• Solid backend experience in TypeScript or Python.
• Ability to build internal tooling and automation scripts.

Responsibilities

• Optimize and scale PostgreSQL (Supabase) infrastructure.
• Design indexing, partitioning, and query strategies for large 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).
• Collaborate with backend, ML, and product teams on new features.

Skills

PostgreSQL

Large datasets

S3 storage

Backend development

Internal tooling

Full-stack infra

Tools

PostgreSQL (Supabase)

S3

Deno / TypeScript

Python ML pipelines

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 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.

ABOUT THE ROLE

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.

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
• $150,000 – $350,000 equity

We move fast and work hard.

If you\'re excited to build the world’s largest consumer app, let’s talk!

GROWTH OPPORTUNITY

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.