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.
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