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Senior Software Engineer (Backend) - AI/ML Environments

Databricks· Engineering
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Mountain View, CA$166k - $220kfull-timePosted 11mo ago

About the role

Senior backend/infrastructure engineer role focused on building the ML/AI Environments infrastructure to configure training and serving environments for ML/AI users, as part of Databricks Mosaic AI initiatives.

Responsibilities

  • Build the infrastructure that enables ML and AI users to configure training and serving environments easily, reliably and reproducibly.
  • Collaborate with other AI infrastructure teams to build features that customers need to get more from the Databricks platform (e.g., improving performance for virtual environments, improving observability for debugging runs).
  • Interact with turnkey customers and product managers to envision new features and identify areas for improvement.
  • Shape how developers and data scientists build and interact with AI on Databricks.

Qualifications

  • 5+ years of experience in backend or infrastructure engineering with a focus on building systems
  • Strong programming skills in Python, Scala or Java
  • Experience with distributed systems, scalable APIs, or cloud-native infrastructure
  • Familiarity with service-oriented architecture, deployment pipelines, and system observability
  • Strong product and ownership mindset — you care about building the right solution, not just any solution
  • Strong understanding of dependency management technologies including virtual environments or containerization technologies.

Skills

Required:Backend engineeringPythonDistributed systems
Nice to have:ScalaJava

Benefits

  • Benefits details available via regional link (see job description)
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

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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.

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