Top Tech Jobs & Startup Jobs in Bengaluru, KA

As a Sr Engineering Manager in the Search Platform team at Databricks India, you will build infrastructure and products for the Databricks platform at scale, manage a team of strong software engineers, and work with engineering and product leadership to build a long-term roadmap.

As a Senior Engineering Manager in the Data Platform team at Databricks India, you will lead a team to build infrastructure and products for the Databricks platform at scale, working on resource management, developing reliable services, building tools, and working at the intersection of machine learning and distributed systems.

As the Engineering Manager for the Search Platform team at Databricks India, you will lead the team in building infrastructure and products for the Databricks platform at scale. Responsibilities include hiring engineers, supporting career development, ensuring high technical standards, and collaborating across teams on projects. The ideal candidate will have extensive experience with large-scale distributed systems and software engineering leadership.

Serve as the first Engineering Manager in the Software Engineering team at Databricks India. Lead the development of infrastructure and products for the Databricks platform at scale. Responsible for hiring, career development, technical standards, and roadmap planning.

Lead engineering team in building infrastructure and products for the Databricks platform at scale. Hire and develop engineers, establish technical standards, and collaborate across teams to drive projects forward.

As a Backline Technical Solutions Engineer at Databricks, you will troubleshoot and resolve complex customer issues related to the Databricks Platform, provide best practice guidance, contribute to automation and tooling programs, and collaborate with engineering teams.

As a Staff Software Engineer at Databricks India, you will work on challenges related to backend systems and distributed data systems. Responsibilities include building reliable and high-performance services, developing data pipelines, and working on large-scale distributed systems.