Staff Backend Software Engineer

Responsibilities

• Build infrastructure for flagship offerings like MLflow, AI Gateway, Databricks Apps, Agent Framework, 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

Preferred Qualifications

• 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
• Experience building developer platforms or internal tools supporting AI workflows

About the Company

Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.