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Senior Software Engineer, Compute Infrastructure

Databricks
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Mountain View, California$164.2k - $205.2kPosted 1mo ago

About the role

Senior role at Databricks focused on building a unified multi-cloud compute infrastructure and serverless platform, tackling distributed systems challenges across AWS, Azure, and GCP.

Responsibilities

  • Design and build the next generation of our Serverless platform, focusing on high availability, low latency, and scale-to-zero efficiency.
  • Build a single compute stack that supports heterogeneous workloads, including GPU instance qualification for AI training and stateful execution for Lakebase.
  • Solve Multi-Cloud Complexity: Develop platform-level abstractions that allow Databricks to run seamlessly across all major cloud providers.
  • Optimize everything from the API gateway down to the host-level networking and container orchestration.

Qualifications

  • 5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language
  • 4+ years of experience developing large-scale distributed systems from scratch
  • Experience with Kubernetes, Docker, or MicroVM technologies (e.g., Firecracker) and a strong grasp of cloud provider internals (AWS/Azure/GCP)
  • You aren't just a user of tools; you understand how to build them from the ground up when existing solutions fail at our scale.
Last updated Sep 17, 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.

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