Senior Software Engineer - Cloud Efficiency

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.