Senior Backend/Infrastructure Engineer, AI Platform

Job title: Senior Backend/Infrastructure Engineer, AI Platform

About the Role As part of the AI Platform team at Databricks, you’ll build the substrate that powers data apps, AI agents, model training, model serving, and vector search. You’ll join a high-agency, high-visibility team working at the frontier of AI infrastructure with deep ties to research, product, and enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI.

What You'll Do

• Build infrastructure that powers flagship offerings like MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs, among others.
• 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.

What We're Looking For

• 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.
• Bonus points for 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.

Nice to Have

• Experience with real-time serving, ML infrastructure, or GPU orchestration (bonus).
• Familiarity with ML platforms and open-source tooling related to AI workflows.

Compensation & Benefits

• Local Pay Range: USD 166,000 — 225,000 per year.
• The total compensation package may include annual performance bonus, equity, and benefits in line with Databricks policies.
• Comprehensive benefits and a diverse, inclusive culture.