Staff Site Reliability Engineer, FinOps

This is a fully remote position, open to applicants in Costa Rica.

📋 Description

• Develop financial models for cloud and AI expenditures, encompassing unit economics, COGS, and spending forecasts with scenario and sensitivity analyses.

• Formulate the commitment strategy (CSP, RI, EDP) by analyzing the tradeoff between savings and utilization risks.

• Create methodologies for cost allocation and attribution regarding cloud and AI expenses.

• Take ownership of and enhance the cost regression program and its associated tools.

• Lead the cost optimization roadmap and spearhead cost-saving initiatives across various teams.

• Promote continuous improvement and operational excellence for FinOps pipelines and tools.

• Provide mentorship and guidance to junior team members.

• Manage FinOps tools and cost data pipelines, ensuring monitoring, alerting, data quality checks, and automation are in place.

• Implement SRE practices in cost management, which include budgets, thresholds, cost alerts, and blameless reviews.

• Assess cost-reliability tradeoffs.

• Streamline manual cost reporting and analysis through automation.

• Offer cost insights during the weekly LiveSite operational review.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, or a related field (Ph.D. is an advantage).

• Strong analytical and problem-solving abilities, with a knack for translating complex data into actionable insights.

• Proven track record of taking ownership and influencing outcomes while collaborating with internal and external organizations, including engineering, finance, and marketing.

• Exceptional communication skills, capable of articulating complex technical concepts to non-technical stakeholders.

• Over 7 years of professional experience in data or software engineering roles.

• A minimum of 2 years of experience in cloud financial management or within the FinOps framework.

• Demonstrated capability to build and manage data pipelines with intricate sources.

• Experience collaborating with Finance/FP&A on budgeting, forecasting, or gross-margin analyses.

• Operational expertise in high-scale, reliable 24/7 multi-tenant global SaaS environments.

• Proficient coding and debugging skills.

• Familiarity with Scala, Java, Golang, or Python (experience with Scala is particularly beneficial).

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and career advancement.

• Flexible work arrangements and a supportive work environment.