Engineering Manager - Platform Reliability

At Databricks, we enable data teams to solve the world's toughest problems by building and running the world's best data and AI infrastructure platform. The Lakebase Platform Reliability team's footprint spans multiple stacks, systems, and stakeholders.

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.