Cloud FinOps Engineer (AI/Cloud)

TL;DR

Cloud FinOps Engineer (Cloud/AI): Identifying and executing cost-saving opportunities in complex, large-scale cloud environments across multiple providers with an accent on architectural decisions and governance frameworks. Focus on designing granular visibility into cloud spend, optimizing RI/Savings Plans, and implementing automated guardrails.

Location: Onsite in Tel Aviv, Israel

Company

hirify.global is a data platform company for the AI era, building enterprise software infrastructure to manage and protect massive datasets for real-time data analysis and AI training.

What you will do

• Proactively identify and execute cloud cost-saving opportunities through rightsizing and optimized scaling.
• Collaborate with R&D and DevOps to evaluate the cost-impact of architectural decisions.
• Design and maintain granular visibility into cloud spend, transforming data into actionable insights.
• Take ownership of cost operations across AWS, Azure, GCP, and OCI, establishing governance.
• Manage and optimize the portfolio of RIs, Savings Plans, and Spot instances for cloud ROI.

Requirements

• 3+ years of experience managing cloud costs in complex, large-scale environments.
• A proactive, hands-on executor with a proven track record of moving the needle on cloud spend.
• Strong technical understanding of cloud-native architectures and experience in building 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.
• Deep, hands-on experience with Azure, AWS, GCP, OCI and understanding of Kubernetes cost allocation.
• Proficiency with platforms like Umbrella, Azure Cost Management, or similar, and experience with Terraform/Ansible/Python for automated cost-governance.

Culture & Benefits

• Opportunity to be part of one of the fastest-growing infrastructure companies in history.
• Be a key contributor at a pivotal time in the company’s growth and computing history.
• Work at an organization that is in the center of the revolution in artificial intelligence.