Staff Software Engineer and Tech Lead designing and building compute abstractions, workload orchestration, and fleet management systems that power Databricks' infrastructure across major clouds.
181k – 226k/yr
On-site10+ YOEDevOps / SRE
About the role
Responsibilities
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
Requirements
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
Skills
JavaScalaGoC++AWSAzureGCPKubernetesDockerDistributed Systems
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