Database & Infrastructure Engineer

KLED LLC
United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$150,000.0 - $250,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon S3 Computer Networks Databases Continuous Integration Data Infrastructure Extract Transform Load (ETL) DevOps Python (Programming Language) PostgreSQL TypeScript Backend
+2 more
Build Tools Data Pipelines

Job 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

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

CURRENT STACK

Backend

  • PostgreSQL (Supabase) - 188M+ media files
  • S3 storage
  • Deno / TypeScript edge functions
  • Python ML pipelines

Frontend

  • SwiftUI (migrating to Flutter)

Benefits & conditions

  • 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

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

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Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

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The enduring legacy of the amazon S3 storage API

Chris Heilmann +3 · LIVE

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Assembling the tech stack for scalable indexing workflows

Chris Heilmann +2 · LIVE

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Transitioning into backend engineering from web development

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

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Scaling global network engineering through DevOps culture

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