Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Medium — niche FinOps specialization reduces applicants, but metro location and known employer increase competition.
Medium — core cloud FinOps skills transfer across industries, but GenAI/MLOps and tenant chargeback add specialization.
High — explicit 6+ years, required FinOps/cloud tool expertise, Kubernetes, Terraform, and analytics skills.
Lead cloud financial optimization and cost governance across Azure, AWS, and GCP, focusing on AI/GenAI and Kubernetes workloads.
Drive technical advisory on architecture and code-level optimizations to reduce cloud spend and implement FinOps guardrails and automation.
Develop financial forecasting models, KPI frameworks, and dashboards for executive leadership to enhance cloud profitability and chargeback strategies.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
6+ years of experience in Cloud engineering, FinOps, or DevOps; with at least 3+ years in FinOps or cloud financial governance.
Proficiency with AWS Cost Explorer, Azure Cost Management, GCP Billing, and FinOps tools such as CloudHealth.
Experience with Kubernetes production environments, Terraform/Ansible automation, and strong data visualization/analytics skills (SQL, Python, Power BI/Tableau/Grafana).
Deep expertise in multi-cloud financial models and cloud cost optimization specifically for AI/ML and Kubernetes platforms.
Experience delivering tenant-level cost tracking and chargeback implementations in enterprise environments.
Comfortable operating at the intersection of cloud architecture, financial analytics, and automation to influence leadership decisions.