You'll contribute to the wider platform mission: building resource management infrastructure, reliable distributed services, and internal tools that help Databricks engineers operate confidently across clouds and environments.

Responsibilities:

• Hire great engineers to build an outstanding team.
• Support engineers in their career development by providing clear feedback and develop engineering leaders.
• Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).
• Work with engineering and product leadership to build a long-term roadmap.
• Coordinate execution and collaborate across teams to unblock cross-cutting projects.
• Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way.
• Lead development of reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers.
• Build tools to allow Databricks engineers to operate their services across different clouds and environments.
• Build services, products and infrastructure at the intersection of machine learning and distributed systems.

What we look for:

• 5+ years of Engineering experience and 2+ years of Engineering Management experience.
• Experience with large-scale distributed services and the processes around testing, monitoring, and SLAs.
• Ability to align multiple stakeholders on competing priorities.
• Able to balance short-term delivery against long-term stability.
• BS (or higher) in Computer Science, or a related field.

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