We are looking for a Cloud FinOps Engineer to lead our cloud cost operations and drive financial governance across our multi-cloud environments. While our DevOps team has already established a solid foundation for cost management, we are now seeking a hands-on expert to evolve these processes into a world-class FinOps practice.
In this role, you will bridge the gap between Engineering, Finance, and Business stakeholders. Youll combine technical expertise with strategic leadership to ensure our cloud spend is optimized, predictable, and aligned with our business objectives - all while fostering a culture of shared cost accountability across the organization.
What youll do:
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 Azure, AWS, and GCP, 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: What youll need:
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 dont 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, or GCP
Experience with Terraform 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, Azure Cost Management, or similar.
Experience with AI-driven agents or automated root-cause analysis systems for cloud cost anomalies - A significant advantage.
Familiarity with Snowflake and Tableau to analyze massive billing datasets and identify hidden cost driver - An advantage.
This position is open to all candidates.