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DatabricksDatabricksSan Francisco, CA

Staff Backend Software Engineer- (AI Platform)

Builds infrastructure powering Databricks' AI platform including MLflow, AI Gateway, and model serving. Requires 5+ years backend experience with Scala, Go, or Python, and expertise in distributed systems and scalable APIs.

166k – 225k/yr
On-site5+ YOEBackend Engineering

About the role

Impact/Responsibilities

  • Build infrastructure that powers flagship offerings like MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs.
  • Improve reliability, latency, and efficiency of distributed AI workloads.
  • Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences.
  • Shape how developers and data scientists build and interact with AI on Databricks.

Requirements

  • 5+ years of experience in backend or infrastructure engineering.
  • Strong programming skills in Scala, Go, or Python.
  • 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.

Nice-to-Haves

  • Experience with real-time serving, ML infrastructure, or GPU orchestration.
  • Exposure to platforms like SageMaker, Vertex AI, or Azure ML.
  • Contributions to OSS projects like MLflow, PyTorch, or Ray.
  • Built developer platforms or internal tools supporting AI workflows.

Skills

ScalaGoPythonDistributed SystemsScalable ApisCloud-Native InfrastructureService-Oriented ArchitectureMLflowML InfrastructureGpu Orchestration
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