Database & Infrastructure Engineer (Full Stack)
Job Description
Company: Kled AI
Location: California, United States
Workplace Type: Remote
Employment Type: Full-time
Pay / Compensation: $150,000 – $250,000
About the Role
Kled AI is building the largest opt-in human data network in the world, processing millions of files and storing hundreds of millions of media records. This role focuses on making the data layer world-class, blending database, backend, and infrastructure work to power frontier AI labs.
What You’ll Do / Key Responsibilities
- Optimize and scale our PostgreSQL (Supabase) infrastructure for massive datasets.
- 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.
- Design and automate dataset exports and delivery pipelines (S3, secure transfers).
Requirements & Qualifications
- 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.
Preferred / Bonus Qualifications (if applicable)
- Experience with data pipelines (ETL, transformation layers).
- Experience with vector databases (pgvector, FAISS, Pinecone).
- DevOps experience (CI/CD, infra automation).
- Experience working with media-heavy systems.
Benefits & Perks (if applicable)
- Significant equity compensation ($750,000 – $1,500,000).
- Opportunity to own core systems powering a global data network.
- Growth opportunity at the frontier of applied AI data infrastructure.
If you’re excited to move fast, build systems that matter, and help define how human data powers frontier AI, let’s talk!
