Job Description
- Job Description:
- 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
Apply tot his job
Apply To this Job