As a Staff Engineer for Search at Databricks, you will be instrumental in building and scaling the next-generation Search product, which includes Vector Search, Keyword Search, and Search Quality. Your role will involve driving the architecture and evolution of the Search stack to ensure high performance and reliability. You will collaborate with various teams to shape APIs and enhance developer experiences, while also mentoring senior engineers. This position focuses on delivering innovative solutions that empower customers to build AI applications effectively.

• 10+ years of experience building and operating large-scale distributed systems.
• Deep expertise in Search technologies including vector, keyword, and hybrid retrieval.
• Familiarity with storage systems, recommendation engines, and database internals.
• Strong foundation in algorithms, data structures, and system design.
• Proven ability to deliver technically complex, high-impact initiatives.
• Experience leading architecture for performance-sensitive, large-scale systems.
• Strong communication skills and ability to collaborate across teams.
• Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.
• Passion for mentoring and fostering technical excellence.

• Drive the architecture and evolution of the Search product for scalable and low-latency retrieval.
• Identify and solve challenges in indexing, storage, query execution, and ranking.
• Partner with infrastructure, product, and research teams to shape APIs and developer experiences.
• Lead end-to-end engineering efforts from design to production rollout.
• Make direct contributions to core systems powering search and recommendation experiences.
• Champion software engineering excellence and mentor other engineers.
• Contribute to long-term planning and influence Databricks' technical direction in search and AI infrastructure.