Cloud FinOps Specialist

Job Responsibilities:

• Analyze complex, multi-cloud cost and performance datasets to facilitate usage and rate optimization. Identify optimization opportunities, reduce waste, and track opportunities to resolution.
• Continuously follow up with platform PIC to ensure all workloads are provisioned accurately.
• Participate in complex architectural discussions to help platform/project teams make cost-efficient technology choices. Serve as a subject matter expert on cloud financial management best practices, cost management mechanisms, and cost-effective cloud architecture.
• Develop and maintain relationships with key stakeholders and their teams to support them with FinOps tools, frameworks, processes, and data.
• Deploy and maintain commercial and open-source FinOps tools, training end users as needed.
• Investigate cost anomalies and discrepancies to identify root causes and communicate corrective actions.
• Stay updated on cloud pricing models, cost management tools, and best practices in FinOps.
• Create accurate forecasting of cloud spend. Evaluate monthly spending to be in line with yearly forecasted numbers, liaise with stakeholders to ensure all cloud-related transactions (e.g., payments, budgets, contracts) are managed accurately.
• Provide cost analysis/usage reports to key personnel on a set cadence and drive a culture of cost accountability.

Job Qualification

• Bachelor's degree in Information Technology, Management Information Systems, Computer Science, or a related discipline.
• 2-4 years of hands-on experience deploying and managing resources in AWS and/or Azure.
• 1-3 years of FinOps or Cloud Operations experience.
• Technical understanding of core AWS and Azure service offerings.
• FinOps Certified Practitioner, AWS Cloud Practitioner, and/or Azure Fundamentals certification.
• Experience configuring and maintaining Corent, Cloudability, CloudZero, FinOut, AWS Cloud Intelligence Dashboards, Azure FinOps Hub, or similar cloud financial management platforms.
• Strong quantitative data analysis skills: ability to use hard data and metrics to support assumptions, recommendations, and drive actions.
• Proficient in Microsoft Excel, Power BI, and PowerPoint or similar programs.
• Superior planning, organization, and problem-solving abilities.
• Excellent relationship-building and people skills.

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