Databricks31.03.2026

Staff Backend Software Engineer- (AI Platform)

San Francisco

Обязанности

01Design and implement core systems and APIs that power Databricks Model Serving, ensuring scalability, reliability, and operational excellence
02Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads
03Contribute 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
04Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems
05Lead technical initiatives that improve latency, availability, and cost-effectiveness across both customer-facing and foundational serving layers
06Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance

015+ years of experience building and operating large-scale distributed systems
02Experience in model serving, inference systems, or related infrastructure (e.g., routing, scheduling, autoscaling, and observability)
03Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems
04Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value
05Experience building architecture for large-scale, performance-sensitive CPU/GPU inference systems
06Strong communication skills and ability to collaborate across teams in fast-moving environments
07Customer-focused mindset with the ability to align implementation details with product goals
08Passion for mentoring, growing engineers, and fostering technical excellence