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Snowflake is seeking a Staff Software Engineer to help define and own the roadmap for Snowflake Feature Store, a core component of the Snowflake ML suite. In this role, you will work collaboratively with senior architects and ML team leadership to build cutting-edge product capabilities that power complex feature transformations and low-latency feature serving. You'll be responsible for ensuring operational excellence of services, meeting reliability, availability, and performance commitments, and collaborating across ML partner teams to improve development velocity and capabilities.
You will support team members in delivering high technical quality and help build and execute a vision for incorporating new advances in machine learning. The role sits at the intersection of data infrastructure and machine learning platforms, where you'll drive the evolution of feature management and serving capabilities in the era of GenAI and agentic systems.
The ideal candidate brings 10+ years of experience designing and building data serving infrastructure and/or machine learning platforms, with a strong track record working with ML systems. You should have deep computer science fundamentals, fluency in Java and Python, and hands-on experience with feature engineering platforms and ML platforms. A B.Sc. in Computer Science is required.
Snowflake values AI-native thinkers with low ego who thrive in dynamic, fast-moving environments and approach problems with an experimental mindset. You'll be part of a team revolutionizing machine learning feature management as the company powers the era of the agentic enterprise.
