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DatabricksDatabricksSan Francisco, CA

Senior Software Engineer - Infrastructure and Tools

Build and extend scalable infrastructure for Databricks' data and AI platform, including multi-cloud systems and Kubernetes at massive scale. Requires 5+ years experience in Java/Scala/Go/C++/Python, distributed systems, and cloud technologies.

166k – 225k/yr
Hybrid5+ YOEDevOps / SRE

About the role

The impact you will have:

  • Build and extend components of the core Databricks infrastructure
  • Architect multi-cloud systems and abstractions to allow the Databricks product to run on top of existing Cloud providers
  • Improve software development workflows for engineering and operational efficiency
  • Use our own data and AI platform (yes!) to analyze build and test logs and metrics to identify areas for improvement
  • Develop automated build, test, and release infrastructures
  • Set and uphold the standard for engineering processes to support high-quality engineering, including style and code checking, test harnesses, and release packaging

What we look for:

  • BS (or higher) in Computer Science, or a related field
  • 5+ years of experience writing production code in one of: Java, Scala, Go, C++ or Python
  • Passion for building highly scalable and reliable infrastructure
  • Experience architecting, developing and deploying large-scale distributed systems at scale
  • Experience with cloud APIs (e.g., a public cloud such as AWS, Azure, GCP or an advanced private cloud such as Google, Facebook)
  • Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes, or Terraform

Benefits

  • Comprehensive health coverage including medical, dental, and vision
  • 401(k) Plan
  • Equity awards
  • Flexible time off
  • Paid parental leave
  • Family Planning
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Employee Assistance Program (EAP)
  • Business travel accident insurance

Skills

JavaScalaGoC++PythonKubernetesAWSAzureGCPDocker

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