As a Senior Engineer at Databricks, you will play a vital role in shaping the Model Serving product, which provides a unified platform for deploying and managing AI/ML models. You will design and build systems for high-throughput, low-latency inference across CPU and GPU workloads. The role involves collaborating with various teams to ensure operational excellence and scalability. Your contributions will directly impact the performance and efficiency of the serving infrastructure.

• 5+ years of experience building and operating large-scale distributed systems.
• Experience in model serving, inference systems, or related infrastructure.
• Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems.
• Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value.
• Experience building architecture for large-scale, performance-sensitive CPU/GPU inference systems.
• Strong communication skills and ability to collaborate across teams in fast-moving environments.
• Customer-focused mindset with the ability to align implementation details with product goals.
• Passion for mentoring, growing engineers, and fostering technical excellence.

• Design and implement core systems and APIs that power Databricks Model Serving.
• Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency.
• Contribute directly to key components across the serving infrastructure.
• Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable systems.
• Lead technical initiatives that improve latency, availability, and cost-effectiveness.
• Establish best practices for code quality, testing, and operational readiness.
• Mentor other engineers through design reviews and technical guidance.