Cloud FinOps Specialist

• Analyze and optimize AWS and Azure cloud, infrastructure, and platform costs using FinOps best practices, including forecasting, budgeting, and rightsizing to reduce waste while maintaining performance and availability.
• Develop and maintain reporting pipelines, dashboards, and automation for cost monitoring, allocation, and optimization across cloud and hybrid infrastructure environments.
• Perform advanced analysis on usage, performance, and cost trends to deliver actionable insights and recommendations to customers as well as internal engineering, operations, and finance teams.
• Partner with AWS/Azure engineers to design, implement, and refine solutions that improve cost efficiency, scalability, and system reliability.
• Stay current on FinOps frameworks, cloud economics, infrastructure tooling, and industry best practices to continuously improve Lightedge’s cost management strategy.

• Bachelor's degree in Computer Science, Information Technology, Finance, or a related field, or equivalent professional experience.
• 2+ years of experience in a FinOps, cloud cost optimization, SRE, or infrastructure-focused role.
• Strong understanding of cloud cost and billing data on AWS and Azure, including detailed usage and cost reporting.
• Demonstrated analytics experience, including building dashboards and querying large datasets to derive operational and financial insights.
• Experience working in hybrid environments, including cloud, colocation, and managed infrastructure (preferred).
• Strong problem-solving skills with a data-driven approach and the ability to balance cost optimization with performance, reliability, and customer commitments.
• Excellent communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.