The role is focused on building infrastructure for Databricks' AI Platform team, which powers various offerings such as MLflow and AI Gateway. You will be part of a high-agency team that collaborates closely with research, product, and enterprise use cases. The position emphasizes improving the reliability and efficiency of distributed AI workloads. You will also shape how developers and data scientists interact with AI on the Databricks platform.

• 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

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