Vector Database Engineer
Sutherland
Vector Database Engineer
About Sutherland
Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they're our core expertise.
We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.
We've created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless "as a service" model.
For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.
Unlocking digital performance. Delivering measurable results.
We are seeking a Postgres Database Engineer with expertise in maintaining Postgres databases optimized for vector search using pgvector. You will manage performance, availability, backup, and DR for AI-driven enterprise workloads.
Responsibilities:
- Maintain Postgres with pgvector extension for embeddings.
- Optimize vector similarity search queries at scale.
- Implement backups, restore, and DR drills.
- Monitor performance metrics and replication lag.
- Collaborate with AI/ML teams for retrieval optimization.
Career Growth:
Pathway to Database Architect or Data Platform Specialist roles focused on enterprise-scale AI workloads.
All your information will be kept confidential according to EEO guidelines.