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# Database & Infrastructure Engineer (Full Stack)

- **Company:** KLED LLC
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Flutter, Amazon S3, Big Data, Databases, Continuous Integration, Extract Transform Load (ETL), DevOps, Python (Programming Language), PostgreSQL, Performance Tuning, TypeScript, Pinecone, Swiftui, Delivery Pipeline, Indexer, Backend, Pgvector, Machine Learning Operations, FAISS, Front End Software Development, Data Pipelines
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_1f3a4ae28dc67dd4234c2b4318f5ccf9

## 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

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