Staff Site Reliability Engineer, FinOpsLocation: 100% Remote — Costa Rica (optional office access in San José) About the RoleThis role sits within Sumo Logic’s FinOps team and focuses on making cloud and AI spend visible, attributable, and optimizable. The Staff SRE will build the financial models that support cost decisions, including spend forecasts, unit economics, COGS, and commitment planning. The role works closely with Engineering, Finance/FP&A;, and executive leadership to turn analysis into action.

The successful candidate will create forecasts, sensitivity analyses, and optimization models, then defend assumptions and findings with stakeholders. Build financial models for cloud and AI spend, including unit economics, COGS, and forecasting with scenario and sensitivity analysis. Model commitment strategies across CSP, RI, and EDP by balancing savings against utilization risk.

Own and improve the cost regression program and related tooling to detect, investigate, and help resolve spend increases. Lead cost optimization efforts across teams and help shape the broader cost optimization roadmap. Serve as a bridge between engineering, finance, and executive leadership on FinOps priorities.

Improve operational excellence across FinOps pipelines and tools. Run cost data pipelines and tooling with production-grade practices, including monitoring, alerting, data quality checks,



and automation. Quantify cost-versus-reliability tradeoffs to avoid harming customer experience through optimization decisions.

Automate manual cost reporting and analysis work. Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, or a related field. 7+ years of professional experience in data or software engineering roles. Demonstrated ability to build and operate data pipelines with complex data sources.

Experience working with Finance/FP&A; on budgeting, forecasting, or gross-margin analysis. Strong coding and debugging skills.

Experience with Scala, Java, Golang, or Python. Ability to translate complex data into actionable insights. Excellent communication skills, including the ability to explain technical concepts to non-technical stakeholders. Build forecasts, unit economics models, and COGS analysis for cloud and AI spend. Develop scenario and sensitivity analyses to support financial planning. Automate reporting, analysis, and FinOps workflows.

Why You Might Be

InterestedThis role offers the prospect to apply SRE discipline to a FinOps function with direct influence on cloud and AI spending decisions. It combines technical depth, financial modeling, and cross-functional partnership with Engineering, Finance/FP&A;, and executive leadership.

📌 Staff Site Reliability Engineer, Finops (Winnipeg)
🏢 FinOps Weekly
📍 Winnipeg