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Senior Software Engineer - Backend

Databricks· Engineering
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Mountain View, CA$166k - $225kFull-timePosted 11mo ago

About the role

Backend-focused software engineer at Databricks building infrastructure and products for the Databricks platform at scale across cloud providers.

Responsibilities

  • Resource management infrastructure powering big data and machine learning workloads in a scalable, secure, cloud-agnostic way
  • Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers
  • Build tools to allow Databricks engineers to operate their services across different clouds and environments
  • Build services, products and infrastructure at the intersection of machine learning and distributed systems.

Qualifications

  • BS (or higher) in Computer Science, or a related field
  • 5+ years of production level experience in Java, Scala, C++, or similar language
  • Experience developing large-scale distributed systems
  • Experience working on a SaaS platform or with Service-Oriented Architectures
  • Experience with cloud technologies (AWS, Azure, GCP, Docker, or Kubernetes)
  • Experience with security and systems that handle sensitive data
  • Good knowledge of SQL

Skills

Required:BS (or higher) in Computer Science, or a related fieldJavaScalaDistributed systems
Nice to have:C++

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
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

AIanalyticsbig datadatadata warehousingenterprise-infrastructuregovernanceliquid-ai-recruiting-target
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