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Portfolio Careers

Job openings across the Race Capital portfolio companies.

Staff Software Engineer (Backend / Fullstack)

Databricks

Databricks

Software Engineering
Bengaluru, Karnataka, India
Posted on Tuesday, April 23, 2024

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

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 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.

Competencies

  • BS (or higher) in Computer Science, or a related field
  • 10+ years of production level experience in one of: Java, Scala, C++, or similar language.
  • 5+ years experience working in a related system.
  • Experience in Search, distributed systems, search indexing, ETL pipeline, ElasticSearch, real-time message processing, vector search, scalable system design.
  • Ability to identify performance issues, root cause problems, and be able to come up with potential solutions.
  • Excellent cross-functional and communication skills, consensus builder.

Benefits

  • Benefits allowance
  • Employee's Provident Fund
  • Equity awards
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Business travel insurance
  • Paid Parental Leave

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.

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.