Lead and grow a team of infrastructure engineers building Databricks' Foundation Model Inference and APIs for serving partner and self-hosted LLMs at scale. Shape roadmaps for real-time, provisioned, and batch inference while maintaining high reliability, operational excellence, and technical quality.
190k – 261k/yr
On-site5+ YOEEngineering Management
About the role
Impact You Will Have
Lead and grow a team of talented, product-minded infrastructure Engineers working on Databricks Foundation Model Inference and Foundation Model API. The team owns the systems powering large-scale inference workloads for customers through partner models (OpenAI, Anthropic, Gemini) and self-hosted models (Qwen, GPT-OSS, Llama).
Help shape the roadmap for products spanning real-time inference, provisioned throughput, and batch inference use cases.
Partner closely with product and engineering leadership to deliver the right capabilities with strong reliability, quality, and service health.
Build an inclusive, high-performing team that attracts, develops, and retains exceptional engineers.
Maintain a deep understanding of your team’s technical area and uphold a strong bar for architecture, implementation quality, and operational excellence.
What We Look For
Experience managing and growing high-performing software engineering teams.
Strong technical judgment in distributed systems, platform infrastructure, AI/ML infrastructure, or large-scale backend services, with the ability to maintain quality even in areas you have not worked on personally.
A track record of delivering complex, multi-quarter engineering initiatives with high quality and predictable execution.
Experience partnering effectively with product management and peer engineering teams to translate customer and business needs into roadmaps and shipped outcomes.
Operational rigor, including experience with service health, incident response, postmortems, and continuous improvement.
Excellent communication, coaching, and hiring skills.
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