The role
From Snowflake's own posting.
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:
Design, develop, and maintain scalable platform for resource ownership registry, usage attribution, utilization measurement, and cost modeling.
Build AI agents, tools and automation to enhance system monitoring, alerting, and root cause analysis.
Improve and optimize data ingestion, storage, and query efficiency for cloud utilization, cost and efficiency data at scale.
Collaborate with teams across Snowflake to understand attribution and observability needs and implement solutions that improve operational visibility.
Contribute to open-source and industry best practices in monitoring and distributed systems monitoring.
Ensure high availability, reliability, and performance of team-managed platforms by participating in on-call rotations and incident management.
Partner with Finance, Product and Engineering teams to turn usage, cost and utilization insights into landed operational change.
WHAT WE LOOK FOR:
7+ years of industry experience designing, building and supporting large scale systems in production.
Experience with cost optimization and efficiency work on systems built on large private clouds or public cloud providers
Deep system and architectural analysis experience to identify actionable performance and efficiency insights
History of delivering large cross functional projects with measurable impact
Proficiency in programming languages such as Go, Python or Java.
Excellent problem-solving skills and ability to troubleshoot complex issues in a production environment.
Strong communication skills and ability to collaborate effectively in a team environment.
BS / MS in Computer Science, Engineering or related fields
Prior background building AI agents and working with LLMs
NICE TO HAVE
Experience developing or using observability infrastructure such as OpenTelemetry, Prometheus etc
Working knowledge of cloud infrastructure and its billing models — AWS, Azure, or GCP: compute instance families, storage tiers, networking and data-transfer charges, reserved vs. on-demand, and how billing/CUR exports are structured.
FinOps experience: cost attribution, chargeback, showback, or unit-economics programs.
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