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DatabricksDatabricksSan Francisco, CA

Senior Software Engineer, Compute Infrastructure

Designs and builds compute abstractions, workload orchestration, and fleet management systems to power Databricks' large-scale infrastructure across clouds. Requires 5+ years in distributed systems, proficiency in Java/Scala/Go/C++, and cloud/container experience.

164k – 205k/yr
On-site5+ YOEDevOps / SRE

About the role

Responsibilities

  • Develop compute abstractions for Databricks workloads to enable high-velocity product building with best-in-class performance.
  • Design workload orchestration and scheduling systems for serving, batch, stateful, and GPU workloads with high performance and efficiency.
  • Scale fleet management systems to launch and configure millions of VMs daily across cloud providers.
  • Raise technical and operational standards through strong design practices, testing, and engineering excellence.
  • Lead cross-team initiatives spanning product and infrastructure areas.

Requirements

  • BS (or higher) in Computer Science or related field.
  • 5+ years of experience designing and building large-scale distributed systems.
  • Strong proficiency in 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 supporting mission-critical workloads at scale.

Compensation

Local Pay Range: $164,200—$205,200 USD (may include annual performance bonus, equity, and benefits).

Skills

JavaScalaGoC++KubernetesDockerAWSAzureGCPDistributed Systems

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