Senior Software Engineer (Warehouse)

• 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
• 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

Benefits

• Comprehensive health insurance plans
• Health savings accounts
• Robust retirement plans
• Life and disability insurance
• Weekly online lunch and learns
• Virtual workout classes
• Ergonomic work-from-home equipment
• On-demand mental health and wellness programs
• Fertility benefits and family planning resources
• Generous time-off and various leave plans
• Onsite and Remote Work
• Employee discounts and pre-tax selections
• New hire equity + Employee Stock Purchase Plan (ESPP)
• Quarterly bonus or commission program- 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
• Experience building and operating backend or distributed systems in production
• BS in Computer Science or a related technical field, or equivalent practical experience
• Strong communication skills and a collaborative, low-ego working style
• 4 to 7 years of professional software engineering experience
• Strong programming, debugging, and software design skills in one or more modern languages
• Ability to contribute as a strong technical partner on larger, cross-team projects
• Experience participating in on-call, production support, or incident response for live systems
• A customer-oriented mindset and good judgment about reliability, usability, and business impact
• Solid understanding of the software development lifecycle and engineering best practices across design, implementation, testing, deployment, and operations
• Ability to independently execute on medium-sized projects and deliver them to completion
• 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