Staff Backend Software Engineer- (AI Platform)

Impact

• Design and implement core systems and APIs that power Databricks Model Serving, ensuring scalability, reliability, and operational excellence.
• Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads.
• Contribute directly to key components across the serving infrastructure — from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling — ensuring smooth and efficient operations at scale.
• Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.
• Lead technical initiatives that improve latency, availability, and cost-effectiveness across both customer-facing and foundational serving layers.
• Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.

Requirements

• 5+ years of experience building and operating large-scale distributed systems.
• Experience in model serving, inference systems, or related infrastructure (e.g., routing, scheduling, autoscaling, and observability).
• 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.