Database & Infrastructure Engineer
Location
United States
Posted
25 days ago
Salary
Not specified
Job Description
Role Description
Database & Infrastructure Engineer (Full-Stack Systems)
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.
- 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
This is not just DBA work. You’ll help design the systems that move and package the data powering frontier AI labs.
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
- Ability to move between database, backend, and infrastructure work
Requirements
- Bonus: Experience with data pipelines (ETL, transformation layers)
- Bonus: Experience with vector databases (pgvector, FAISS, Pinecone)
- Bonus: Experience delivering structured datasets to enterprise customers
- Bonus: DevOps experience (CI/CD, infra automation)
- Bonus: Experience working with media-heavy systems
Benefits
- Base salary: $150,000 - $250,000
- $150,000 – $350,000 equity
- Benefits
- Relocation support
- SF HQ (SOMA) or remote
Growth Opportunity
You’ll join a team operating at the frontier of applied AI data infrastructure. We move fast and work 7 days a week. 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
If you’re excited to move fast, build systems that matter, and help define how human data powers frontier AI, let’s talk.
Job 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)
- Bonus: Experience with vector databases (pgvector, FAISS, Pinecone)
- Bonus: Experience delivering structured datasets to enterprise customers
- Bonus: DevOps experience (CI/CD, infra automation)
- Bonus: Experience working with media-heavy systems
Benefits
- Base salary: $150,000 - $250,000
- $150,000 – $350,000 equity
- Benefits
- Relocation support
- SF HQ (SOMA) or remote
- Growth Opportunity
- You’ll join a team operating at the frontier of applied AI data infrastructure. We move fast and work 7 days a week. 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
- If you’re excited to move fast, build systems that matter, and help define how human data powers frontier AI, let’s talk.
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