About the job
At Databricks, we are dedicated to empowering data teams to tackle the most challenging problems in the world—ranging from transforming transportation technology to expediting medical innovations. By creating and managing a premier data and AI infrastructure platform, we enable our clients to leverage profound data insights to enhance their operations. Born from engineering expertise and driven by a customer-first approach, we eagerly confront technical challenges, whether it's crafting next-generation UI/UX for data interaction or expanding our services across millions of virtual machines. Our journey has just begun.
As an Engineering Manager, you will lead your team in constructing infrastructure and products for the Databricks platform at scale. Our diverse teams are focused on various domains:
- Managing resource infrastructure that supports extensive big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic manner.
- Developing reliable, scalable services and client libraries that handle vast amounts of data on the cloud across multiple geographic regions and cloud providers.
- Creating tools that empower Databricks engineers to operate their services seamlessly across different cloud environments.
- Building services, products, and infrastructure that lie at the nexus of machine learning and distributed systems.

