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Design, train, and deploy ML models and pipelines to optimize Databricks serverless compute. Build end-to-end ML4Sys solutions, scale infrastructure, implement optimization and scheduling algorithms, and collaborate on product roadmap to improve performance and cost efficiency.

As a Staff Software Engineer, you will build distributed data systems, focusing on reliability and performance for large-scale data processing, using technologies like Apache Spark™ and Delta Lake.

The role involves building and maintaining scalable backend solutions and infrastructure for the Databricks platform, focusing on resource management and cloud services.

Lead the Reliability strategy and execution for cross-company programs at Databricks, enhancing the performance of multi-cloud infrastructure and ensuring operational excellence.

Lead product management for Lakeflow, impacting data engineering across Databricks' product portfolio. Manage the full product life cycle and collaborate with technical teams.

The role involves enhancing data security at Databricks, leading security engineering, and representing the discipline across the organization.

The role involves designing, implementing, and operating micro-services on the Databricks platform, focusing on backend development and interfacing with cloud APIs.

The role involves designing and implementing advanced database systems and components focusing on optimization, execution, and security, contributing to the full data lifecycle.

Lead the Notebook Dataplane team at Databricks, overseeing user code execution service, managing a team, and driving architecture and technical vision.

The Staff Machine Learning Engineer will develop and deploy advanced AI models and systems, enhance GenAI capabilities, and collaborate with cross-functional teams.