Staff Backend Software Engineer- (AI Platform)

## Responsibilities - Build infrastructure that powers our 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 — you care about building the right solution, not just any solution. ## Nice to Have - 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. ## About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and other platforms.