Description
At Databricks, we are building and running the world's best data and AI infrastructure platform. As a Staff Software Engineer and Tech Lead on the Compute Infra team, you will design and build the systems that power Databricks' compute infrastructure to enable engineers to quickly launch and scale world-class products.
The impact you will have:
- Develop the compute abstractions that provide powerful capabilities for all Databricks workloads, enabling engineers to build world-class products with high velocity and best-in-class performance
- Design the workload orchestration and scheduling systems that orchestrates all types of workloads (serving, batch, stateful, GPU) with high performance and efficiency
- Scale the fleet management systems that launch and configure millions of VMs every day across cloud providers
- Raise the technical and operational bar through strong design practices, testing, and a culture of engineering excellence and platform mindset
- Lead cross-team initiatives that span product and infrastructure surface areas.
What we look for:
- BS (or higher) in Computer Science or related field
- 10+ years of experience designing and building large-scale distributed systems
- Strong proficiency in one or more languages such as Java, Scala, Go, or C++
- Experience with service-oriented architectures and large scale distributed systems
- Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker)
- Track record of shipping infrastructure that supports mission-critical workloads at scale
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/databricks/jobs/8579135002