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# Database & Infrastructure Engineer

- **Company:** KLED LLC
- **Location:** United States (Remote available)
- **Salary:** $150,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon S3, Computer Networks, Databases, Continuous Integration, Data Infrastructure, Extract Transform Load (ETL), DevOps, Python (Programming Language), PostgreSQL, TypeScript, Backend, Build Tools, Data Pipelines
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/database-infrastructure-engineer-full-stack-kled-ai-8121080

## About the Role

* 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)

## Description

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


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