.png)
P-926
At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
We are the Search Platform team, responsible for managing a complex system that indexes and enables searching of all user data created on Databricks platform. Our system supports the in-product search feature and various GenAI functionality, acting as a layer for information retrieval, including being the RAG layer for world class Data Intelligence Platform.
As a Senior Software Engineer on our team, you will be at the forefront of our mission to develop the premier Data Intelligence platform, DatabricksIQ.
Responsibilities:
- Develop and manage our indexing infrastructure that operates independently across all major cloud platforms.
- Manage distinct real-time and offline indexing for various data types and processes terabytes of data in each region.
- Work on expanding our capabilities by indexing more data, enhancing reliability, and supporting a broader range of use cases beyond just search.
- Collaborate with the team to tackle complex challenges in distributed systems and cutting-edge technologies like vector search, LLM, RAGs.
What we look for:
- BS (or higher) in Computer Science, or a related field
- 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.
- Experience developing large-scale distributed systems from scratch
- Experience working on a SaaS platform or with Service-Oriented Architectures.
- Experience working on Search platforms is a plus
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are 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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Top Skills
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
