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Menlo Park, California, United States
Hybrid
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’s cloud spend is in billions of dollars per year. Hence, it is critical for us to govern and optimize our cloud spend, both for margins and long-term competitive advantage. Cloud Efficiency team’s charter is to build scalable products that enable governance, monitoring and optimization of cloud spend. Think of this as Observability for cloud costs and efficiency. The team’s vision is to “Transform cloud spend into a competitive advantage by empowering teams to continuously optimize the per-unit cost.”
In order to improve the overall cloud efficiency (i.e. cost per unit), it is critical to build monitoring products that collate costs with other factors such as utilization, attribution, hardware performance and architecture. Hence, there is an opportunity to build a unified, self-serve cloud efficiency product across Snowflake, that delivers actionable, real-time efficiency datasets through streamlined user experiences. This will enable thousands of engineers at Snowflake and will elevate cloud efficiency at Snowflake for long-term success.
When developing these solutions, we think about the problem end-to-end: how do we collect data from different stacks (e.g. costs from AWS, GCP, Azure and CPU, Memory, Utilization) across Snowflake reliably, how do we store it efficiently, how do we present this information to the user, what actions do we take on the insights from the data? What AI skills and agents we need to develop to enable quick and accurate cost analysis and identifying insights?
We are actively looking for a senior software engineer. If you love solving problems at scale, prefer to write scalable, reliable, and testable software, are an ace troubleshooter, and are deeply technical, then this is the role for you! Snowflake’s target of landing on the S&P 500 in combination with our rapidly growing portfolio in a highly innovative space demands more engineering maturity in the above. While these four domains describe the shape of our current goals, the engineer would be expected to drive the strategy and deliverables for clear company impact.
AS A SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL:
Design, develop, and maintain scalable monitoring solutions for cloud cost and efficiency
Build tools and automation to enhance system monitoring, alerting, and root cause analysis.
Improve and optimize data ingestion, storage, and query efficiency for monitoring cloud efficiency data at scale.
Collaborate with teams across Snowflake to understand monitoring 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 monitoring systems by participating in on-call rotations and incident management.
WHAT WE LOOK FOR:
5+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
Experience developing or using observability infrastructure such as OpenTelemetry, Prometheus etc is a plus.
Prior background working with LLMs is a plus
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
