Databricks Inc.
Sr. Staff Software Engineer, Search
Databricks Inc., San Francisco, California, United States, 94199
Overview
At Databricks we enable data teams to solve tough problems by building and running the world’s best data and AI infrastructure platform. Search technologies help customers discover information across massive, complex datasets, powering Retrieval Augmented Generation (RAG), AI assistants, recommendation systems, enterprise knowledge management, in‑product search, and data exploration. Role
Senior Staff Software Engineer – Search (San Francisco, CA) Impact
Drive the architecture and evolution of the Search product, delivering scalable, low‑latency, and high‑quality retrieval across massive multimodal datasets. Identify and solve challenges in indexing, storage, query execution, and ranking – blending innovations in vector search, keyword search, and hybrid retrieval techniques. Partner with infrastructure, product, and research teams to shape APIs and developer experiences that make it easy to build production‑grade, AI‑powered and search‑driven applications. Lead end‑to‑end engineering efforts – from design to production rollout – ensuring high standards for performance, correctness, and reliability. Make direct, high‑impact contributions to core systems powering search, discovery, and recommendation experiences. Champion software engineering excellence and mentor other engineers through design reviews, technical discussions, and collaborative development. Contribute to long‑term planning and lead Databricks’ technical direction in search, AI infrastructure, and data systems. Qualifications
15+ years of experience building and operating large‑scale distributed systems. Deep expertise in Search technologies (vector, keyword, hybrid) and related domains such as indexing, ranking, retrieval infrastructure, and relevance optimization. Familiarity with storage systems, recommendation engines, and database internals. Strong foundation in algorithms, data structures, and system design as applied to large‑scale retrieval and data systems. Proven ability to deliver technically complex, high‑impact initiatives that create customer or business value. Experience leading architecture for performance‑sensitive, large‑scale systems. Strong communication skills and ability to collaborate across teams in fast‑moving environments. Strategic and product‑oriented mindset with the ability to align technical execution with long‑term vision. Passion for mentoring, growing engineers, and fostering technical excellence. Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range for this role is Zone 1: $228,400 — $303,550 USD. The total compensation package may also include eligibility for an annual performance bonus, equity, and the benefits listed below. Benefits
Databricks offers comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Diversity & Inclusion
Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.
#J-18808-Ljbffr
At Databricks we enable data teams to solve tough problems by building and running the world’s best data and AI infrastructure platform. Search technologies help customers discover information across massive, complex datasets, powering Retrieval Augmented Generation (RAG), AI assistants, recommendation systems, enterprise knowledge management, in‑product search, and data exploration. Role
Senior Staff Software Engineer – Search (San Francisco, CA) Impact
Drive the architecture and evolution of the Search product, delivering scalable, low‑latency, and high‑quality retrieval across massive multimodal datasets. Identify and solve challenges in indexing, storage, query execution, and ranking – blending innovations in vector search, keyword search, and hybrid retrieval techniques. Partner with infrastructure, product, and research teams to shape APIs and developer experiences that make it easy to build production‑grade, AI‑powered and search‑driven applications. Lead end‑to‑end engineering efforts – from design to production rollout – ensuring high standards for performance, correctness, and reliability. Make direct, high‑impact contributions to core systems powering search, discovery, and recommendation experiences. Champion software engineering excellence and mentor other engineers through design reviews, technical discussions, and collaborative development. Contribute to long‑term planning and lead Databricks’ technical direction in search, AI infrastructure, and data systems. Qualifications
15+ years of experience building and operating large‑scale distributed systems. Deep expertise in Search technologies (vector, keyword, hybrid) and related domains such as indexing, ranking, retrieval infrastructure, and relevance optimization. Familiarity with storage systems, recommendation engines, and database internals. Strong foundation in algorithms, data structures, and system design as applied to large‑scale retrieval and data systems. Proven ability to deliver technically complex, high‑impact initiatives that create customer or business value. Experience leading architecture for performance‑sensitive, large‑scale systems. Strong communication skills and ability to collaborate across teams in fast‑moving environments. Strategic and product‑oriented mindset with the ability to align technical execution with long‑term vision. Passion for mentoring, growing engineers, and fostering technical excellence. Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range for this role is Zone 1: $228,400 — $303,550 USD. The total compensation package may also include eligibility for an annual performance bonus, equity, and the benefits listed below. Benefits
Databricks offers comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Diversity & Inclusion
Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.
#J-18808-Ljbffr