Senior Software Engineer, Compute Infrastructure

Databricks
Mountain View
Workplace: OnsiteFull timeUSD 164,200 - 205,200 annuallyFunction: Software EngineeringExperience: 5+ yearsSkills: ["Ownership","Systems thinking"]

Build Databricks’ next-generation serverless compute layer that abstracts multi-cloud infrastructure. You’ll design and implement distributed systems for sub-second MicroVM/container startup, multi-tenant security isolation, and unified orchestration that scales on AWS, Azure, and GCP. The role focuses on scale-to-zero efficiency, a single compute stack for heterogeneous workloads (including GPU training qualifications and Lakebase stateful execution), and end-to-end optimization from API gateway to host-level networking.

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FursaFursa
Databricks
Databricks
2 days ago

Senior Software Engineer, Compute Infrastructure

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build Databricks’ next-generation serverless compute layer that abstracts multi-cloud infrastructure. You’ll design and implement distributed systems for sub-second MicroVM/container startup, multi-tenant security isolation, and unified orchestration that scales on AWS, Azure, and GCP. The role focuses on scale-to-zero efficiency, a single compute stack for heterogeneous workloads (including GPU training qualifications and Lakebase stateful execution), and end-to-end optimization from API gateway to host-level networking.
Location: Mountain View
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and build the next generation of the serverless platform with high availability, low latency, and scale-to-zero efficiency.
  • •Implement a single compute stack for heterogeneous workloads, including GPU instance qualification and stateful execution for Lakebase.
  • •Develop platform-level multi-cloud abstractions so Databricks runs seamlessly across AWS, Azure, and GCP.
  • •Optimize the system end-to-end from the API gateway through host-level networking and container orchestration.
  • •Collaborate with experts to advance distributed systems used for container/MicroVM startup and multi-tenant security isolation.

Pay and Benefits

Salary: USD 164,200 - 205,200 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years of production-level experience using Python, Java, Scala, C++, or a similar language.
  • •4+ years developing large-scale distributed systems from scratch.
  • •Experience with Kubernetes, Docker, or MicroVM technologies (e.g., Firecracker).
  • •Strong grasp of cloud provider internals for AWS, Azure, and/or GCP.
  • •Ability to build tools from the ground up when existing solutions fail at scale.
Experience:5+ yearsDistributed systems
Skills:OwnershipSystems thinking
Languages:English
Tech Stack:PythonJavaScalaC++KubernetesDockerMicroVMFirecrackerAWSAzureGCPAPI gatewayContainer orchestrationDistributed systems

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn