Staff Site Reliability Engineer, FinOps

About the role

Sumo Logic's FinOps team makes every dollar of cloud and AI spend visible, attributable and optimizable. As a Staff SRE, you will apply SRE principles (measurement, observability, automation and accountability) to FinOps and cost optimization, building the financial models behind cost decisions: forecasting spend, modeling unit economics and COGS, and planning the commitment strategy. The role is quantitative, working as the quantitative partner to Engineering, Finance (FP&A) and executive leadership, and is 100% remote with optional office access in San José, Costa Rica.

Key responsibilities

• Build financial models for cloud and AI cost, including unit economics, COGS and spend forecasts with scenario and sensitivity analysis
• Shape the commitment strategy (CSP, RI, EDP) by modeling the trade-off between savings and utilization risk
• Design cost allocation and attribution methods so every dollar of spend maps to the team and product responsible
• Own and evolve the cost regression program and tooling, giving engineering teams visibility into their spend
• Help shape the cost optimization roadmap and lead cost-saving initiatives across teams
• Drive continuous improvement of FinOps pipelines and tools, and mentor junior team members
• Run FinOps tooling and cost data pipelines like production services, with monitoring, alerting, data-quality checks and automation
• Apply SRE practices to cost management: budgets and thresholds modeled on error budgets, actionable cost alerting and blameless reviews of cost regressions
• Quantify cost-reliability trade-offs, automate manual cost reporting, and contribute cost insights to the weekly operational review

Required profile

• Bachelor's or Master's in Computer Science, Engineering, Finance or a related field (Ph.D. a plus)
• 7+ years of professional experience in data or software engineering roles
• 2+ years of experience with cloud financial management or FinOps framework
• Experience partnering with Finance/FP&A on budgeting, forecasting or gross-margin analysis
• Operational expertise in high-scale, reliable 24/7 multi-tenant SaaS
• Ability to build and operate data pipelines with complex sources

Required skills

• Strong coding and debugging skills
• Experience with Scala, Java, Golang or Python (Scala highly beneficial)
• Comfortable with financial and statistical modeling, and able to defend model assumptions to stakeholders