Kled AI

Database & Infrastructure Engineer – Full Stack

Kled AI

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $150,000 - $250,000 per year

Tech Stack

ETLPostgresPythonTypeScript

About the role

  • 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

Requirements

  • 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
Benefits
  • $150,000 – $350,000 equity
  • Relocation support
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PostgreSQLindexingpartitioningperformance tuningTypeScriptPythonETLpgvectorFAISSPinecone
Soft Skills
communicationcollaborationproblem-solvingautomationtool building