Software Engineer
US$200,000 – US$287,500 / yr base salary
Posted 3 Sep 2026
Advertised as “Senior Software Engineer - Cloud Efficiency”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 7+ yrs
- Management level
- Individual contributor
- Contract
- Full-time
| Base salary | US$200,000 – US$287,500 / yr |
|---|
Field of studyComputer Science, Engineering (or related)
Study levelBachelor's or higher
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 runs large scale cloud infrastructure to deliver its own service — production and internal deployments, Kubernetes fleets, CI/CD, etc. Our cloud spend is in billions of dollars per year. The Cloud Efficiency team builds a unified, self-serve cloud efficiency platform along with AI skills and agents that makes spend observable, attributable, governable while driving insights and optimization of our cloud spend.
AS A SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL:
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Design, develop, and maintain scalable platform for resource ownership registry, usage attribution, utilization measurement, and cost modeling.
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Build AI agents, tools and automation to enhance system monitoring, alerting, and root cause analysis.
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Improve and optimize data ingestion, storage, and query efficiency for cloud utilization, cost and efficiency data at scale.
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Collaborate with teams across Snowflake to understand attribution and observability needs and implement solutions that improve operational visibility.
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Contribute to open-source and industry best practices in monitoring and distributed systems monitoring.
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Ensure high availability, reliability, and performance of team-managed platforms by participating in on-call rotations and incident management.
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Partner with Finance, Product and Engineering teams to turn usage, cost and utilization insights into landed operational change.
WHAT WE LOOK FOR:
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7+ years of industry experience designing, building and supporting large scale systems in production.
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Experience with cost optimization and efficiency work on systems built on large private clouds or public cloud providers
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Deep system and architectural analysis experience to identify actionable performance and efficiency insights