Database & Infrastructure Engineer (Full Stack)

Kled AI; United States; A distancia; USD 150.000 - 250.000; Jornada completa

Descripción de la vacante

Kled AI is seeking a Database & Infrastructure Engineer (Full-Stack Systems) to scale our data layer supporting millions of files daily. You will optimize PostgreSQL-backed storage, design scalable data pipelines, and build internal tooling used across backend, ML, and product teams.

Ideal candidates have deep PostgreSQL expertise, experience with large datasets, and comfort delivering data-heavy infrastructure that powers frontier AI applications. Equity+base salary offered.

Formación

• Strong PostgreSQL expertise (indexing, partitioning, performance tuning).
• Experience with large datasets (100M+ records preferred).
• Deep understanding of storage systems (S3 or similar).
• Strong backend experience (TypeScript, Python, or similar).
• Comfort building internal tooling and automation scripts.

Responsabilidades

• Optimize and scale PostgreSQL (Supabase) infrastructure and queries.
• 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 and automated exports to S3.
• Collaborate with backend, ML, and product teams to support new features.

Conocimientos

PostgreSQL

Large datasets

Storage systems

TypeScript

Python

Internal tooling

CI/CD

Herramientas

pgvector

FAISS

Pinecone

Descripción del empleo

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, standardise, and licence 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.