Senior Software Engineer - Warehouse

Snowflake•Menlo Park, CA

8d•$200,000 - $287,500

About The Position

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. Senior Software Engineer, Warehouse UX About Snowflake 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 do not just use tools; you bring an innate curiosity and treat AI as a high-trust collaborator that is core to how you solve problems, deepen your technical leverage, and accelerate your impact. We look for low-ego individuals who thrive in dynamic, fast-moving environments and operate with an experimental mindset, rapidly testing emerging capabilities to uncover simpler, more powerful ways to deliver results. At Snowflake, your role is not just to execute within a function, but to help redefine how world-class engineering teams build, operate, and innovate. About the Role We are hiring a Senior Software Engineer to join the Warehouse UX pod at Snowflake. This team owns critical warehouse capabilities spanning features, billing, and usability across the warehouse experience. Warehouses are one of the most mission-critical parts of Snowflake’s platform and a major revenue driver for the company, making this an opportunity to work on high-impact systems at significant scale. Despite the UX pod name, this is not a front-end role. This team builds backend distributed systems that power warehouse behavior, customer-facing warehouse capabilities, metering and billing-related functionality, and the reliability and usability of core warehouse workflows. This role is best suited for an engineer with 4 to 7 years of experience who can independently drive medium-sized projects end to end, contribute effectively to larger cross-team efforts, and bring strong technical judgment to systems that matter deeply to customers and the business. Why This Role The Warehouse UX pod owns an especially important part of Snowflake’s platform: the capabilities customers use to control, understand, and get value from their warehouses. You will work on systems tied directly to customer experience, product usability, and business outcomes, while helping evolve infrastructure that runs at Snowflake scale. Closing If you are excited to build backend distributed systems for one of Snowflake’s most critical product areas, and want to have outsized impact on a platform that powers customer workloads every day, we would love to hear from you. 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. 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

Requirements

BS in Computer Science or a related technical field, or equivalent practical experience.
4 to 7 years of professional software engineering experience.
Strong programming, debugging, and software design skills in one or more modern languages.
Experience building and operating backend or distributed systems in production.
Ability to independently execute on medium-sized projects and deliver them to completion.
Ability to contribute as a strong technical partner on larger, cross-team projects.
Solid understanding of the software development lifecycle and engineering best practices across design, implementation, testing, deployment, and operations.
Experience participating in on-call, production support, or incident response for live systems.
Strong communication skills and a collaborative, low-ego working style.
A customer-oriented mindset and good judgment about reliability, usability, and business impact.

Nice To Haves

Master's or PhD in Computer Science or a related technical field.
Experience with distributed systems, cloud infrastructure, data platforms, or large-scale backend services.
Experience working on billing, metering, control plane systems, or customer-facing platform capabilities.
Familiarity with performance-sensitive or highly reliable production environments.
Comfort navigating ambiguity and breaking down complex technical problems into practical solutions.
Curiosity about new technologies and comfort using AI tools as part of an effective engineering workflow.

Responsibilities

Design, build, test, deploy, and operate backend software and distributed systems that power Snowflake Warehouses.
Own medium-sized engineering projects independently from design through delivery, and contribute to larger initiatives across the warehouse organization.
Build and evolve capabilities related to warehouse features, billing, and usability.
Improve the reliability, scalability, performance, and operational health of warehouse systems in production.
Work across the full software lifecycle, including technical design, implementation, testing, rollout, on-call participation, issue triage, and follow-through on production improvements.
Partner closely with engineers, product managers, and adjacent teams to deliver durable solutions to customer and business problems.
Make thoughtful tradeoffs between speed, quality, maintainability, and long-term architectural health.
Use strong debugging and systems thinking to resolve complex production issues and improve service behavior over time.
Raise the bar through design reviews, code reviews, operational rigor, and clear technical communication.
Apply AI-assisted workflows where they increase engineering leverage, speed, or quality without compromising judgment.