Job Description
RDQ427R100 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best AI and data infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Serverless Compute Platform is the backbone of Databricks' fastest-growing products. It is powering massive growth in our existing product lines (e.g. Generic Compute, SQL) as well as new and emerging products (e.g. Lakewatch, interactive compute). Behind this hockey stick growth is a set of highly scalable, efficient, and intelligent services managing tens of millions of virtual machines daily across AWS, Azure, and GCP. As Engineering Manager for the Execution Sandbox team, you will own the end-to-end delivery of this new service and the engineers building it. You will inherit a team of strong senior ICs who have already delivered an initial preview. Your job is to build out the full vision, guide evolution, and scale the team. You will ensure strong execution health and that the service launches with production-grade reliability spanning a range of use cases, e.g. GPU onboarding, UDF generalization, and managed REPL. The impact you will have: Own a 0→1 service with platform-wide blast radius. Architect and launch the Execution Sandbox Service from inception to production scale. This greenfield provisioning layer will power all non-Spark compute workload
