Senior Backend Engineer for AI Platform & Infra

Databricks Inc.

Mountain View, San Francisco (CA, CA)

On-site

USD 166,000 - 225,000

Full time

5 days ago
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Job summary

Databricks is seeking a Senior Backend Software Engineer to join the AI Platform team in Mountain View and San Francisco. You will build and optimize scalable infrastructure powering MLflow, AI Gateway, and Foundation Model APIs.

You will collaborate with platform, infra, and ML teams to deliver end‑to‑end experiences, improve latency and reliability, and shape how data scientists interact with AI on Databricks.

Qualifications

  • 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—you care about building the right solution, not just any solution.

Responsibilities

  • Build infrastructure that powers our flagship offerings like MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs, to state a few.
  • 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

Skills

Scala
Go
Python
Distributed systems
APIs
Cloud-native infrastructure
SOA
Observability
Ownership mindset

Tools

SageMaker
Vertex AI
Azure ML

Job description

Databricks is seeking a Senior Backend Software Engineer to join the AI Platform team in Mountain View and San Francisco. You will build and optimize scalable infrastructure powering MLflow, AI Gateway, and Foundation Model APIs.

You will collaborate with platform, infra, and ML teams to deliver end‑to‑end experiences, improve latency and reliability, and shape how data scientists interact with AI on Databricks.

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