Staff Software Engineer - Query Processing (Snowtrail)

Role Summary

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Snowflake is a high-growth, cloud-native data platform company committed to empowering enterprises to achieve their full potential. With a culture built on impact, innovation, and collaboration, we offer an environment where you can build large-scale systems, move fast, and take your technology career to the next level.

As a Staff Software Engineer on the Snowtrail team, you will help Snowflake realize its mission and vision by accelerating the delivery of high quality software to production. You will have the opportunity to design and build software systems to help engineering teams increase their development velocity and provide quality validation, optimized for cost and performance. You will ensure that the team is executing towards serving the current needs of its customers, while also ensuring that we stay ahead of technological trends and future demands.

Responsibilities

• How do you want to make your impact?
• For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

Requirements

OUR IDEAL STAFF SOFTWARE ENGINEER WILL HAVE

• Experience with SQL or other database technologies including internal design and implementation
• Experience with query optimization, query execution, compiler design and implementation
• Experience with MySQL, PostgreSQL internals
• Experience designing, building, and operating large-scale distributed systems infrastructure
• Excellent problem solving skills, and strong CS fundamentals including data structures, algorithms, and distributed systems
• Ability to work in a team environment, collaborate well, and mentor junior engineers
• Ability to work on-site at our Bellevue, WA or Menlo Park, CA offices.

BONUS POINTS FOR EXPERIENCE WITH ONE OR MORE OF THE FOLLOWING:

• Experience with Release Validation Pipelines, Test infrastructure in Production.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

About the Company

ABOUT THE AI PRODUCTS TEAM

The AI Products team is part of the broader Marketplace & Collaboration organization and is focused on bringing AI products on top of Snowflake’s data and application platform to help customers discover, share, monetize, and act on data assets & applications more easily.

This team is building the connective tissue of the agentic enterprise: the infrastructure and product surfaces that allow Snowflake customers to seamlessly share datasets, semantic views, and applications, and make them discoverable and executable through Cortex Code, CoWork, and other agentic harnesses.

Our strategy is centered on evolving Snowflake Marketplace for the AI era, including packaging data and intelligence into ready-to-use agentic experiences, and enabling governed access patterns that let AI systems safely operate on enterprise data and applications.

AS A STAFF SOFTWARE ENGINEER ON AI PRODUCTS, YOU WILL

WHY JOIN THIS TEAM

This is a chance to shape how Snowflake customers expose data and applications to AI systems in a secure, governed, and highly usable way. The work sits at the intersection of platform engineering, product innovation, and AI transformation, and it directly influences how the Data Cloud evolves for the next generation of customers and builders.