The role is part of the AI Platform team at Databricks, focusing on building the infrastructure that supports data applications, AI agents, and model training. This high-visibility team operates at the forefront of AI infrastructure, collaborating closely with research and product teams. The position involves enhancing the reliability and efficiency of distributed AI workloads while shaping developer interactions with AI on the platform. Databricks Mosaic AI is a key area of growth, aimed at democratizing AI for customers.

• 8+ 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 LLM infrastructure powering trillions of tokens per week for customers through partner and self-hosted models.
• 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.