Cloud FinOps Engineer

Description VAST Data is looking for a Cloud FinOps Engineer to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence. "VAST's data management vision is the future of the market."- Forbes VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud. Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history. Proactively identify and execute cost-saving opportunities through rightsizing, optimized scaling strategies, lifecycle management, and architectural improvements without impacting performance or velocity. Collaborate with R&D and DevOps to evaluate the cost-impact of architectural decisions, ensuring "cost-by-design" is a core part of our infrastructure evolution. Design and maintain granular visibility into cloud spend, transforming complex data into actionable insights that inform relevant teams and empower them to take ownership of their usage. Take ownership of cost operations across AWS, Azure, GCP, and OCI, establishing consistent tagging policies, automated guardrails, and governance frameworks. Manage and optimize our portfolio of RIs, Savings Plans, and Spot instances to maximize our cloud ROI. Requirements 3+ years of experience managing cloud costs in complex, large-scale environments with a proven track record of moving the needle on cloud spend. A proactive, hands-on executor: You don’t just report on costs; you actively identify overspend, propose technical solutions, and drive them to completion to deliver tangible savings. Strong technical understanding of cloud-native architectures and experience in building or scaling efficient infrastructure. Ability to analyze cloud usage economics to find the "sweet spot" between performance, scalability, and cost-efficiency. Experience leading end-to-end cost optimization programs, from identifying inefficiencies to implementing company-wide governance. Excellent communication skills and the ability to translate complex technical data into clear business insights for stakeholders at all levels. B.Sc. in Computer Science, Software Engineering, or a related technical field. Technical Stack & Tooling: Deep, hands-on experience with Azure, AWS, GCP, OCI Understanding of Kubernetes cost allocation and experience with tools to manage shared resource environments (Keda, Kubecost, etc.). Proficiency with platforms like Umbrella, Azure Cost Management, or similar. Experience with Terraform/Ansible/Python or implementing automated cost-governance and tagging policies. Understanding of Kubernetes cost allocation and experience with tools to manage shared resource environments (Keda, Kubecost, etc.). Proficiency with platforms like Umbrella, Cloud Native cost management tools, or similar.