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Snowflake

Runs a cloud platform for business data and AI

Senior Software Engineer - Warehouse UX

Backend EngineeringConfirmed live in the last 24 hours
Full-timeMenlo Park, CA, USA$200k - $287.5k /yrIn-person

About the Job

Requirements

  • A BS in Computer Science or a related technical field, or equivalent practical experience.
  • Four to seven 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 medium-sized projects and deliver them to completion.
  • Ability to contribute as a strong technical partner on larger, cross-team projects.
  • A 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.

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.

Desired Qualifications

  • A 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.

About the Company

Snowflake

Runs a cloud platform for business data and AI

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company size
10,001+
Company stage
IPO
Headquarters
Menlo Park, CA
Founded
2012

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