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Metro location and recognized employer plus specialized FinOps skills create moderate applicant competition.
FinOps and cloud cost engineering skills are transferable but require domain-specific billing and governance knowledge.
Explicit years and specific cloud/FinOps tooling requirements raise hiring filter strictness significantly.
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Lead multi-cloud financial optimization and cost governance across Azure, AWS, and GCP, including AI/GenAI, Kubernetes, and MLOps workloads.
Conduct architectural reviews to identify inefficiencies and develop automated cost governance and remediation tools using scripting and Infrastructure as Code.
Build financial forecasting models, KPI frameworks, and executive reporting systems to drive cloud budgeting, cost optimization, and FinOps governance at enterprise scale.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
6+ years of experience in Cloud engineering, FinOps, or DevOps roles, with 3+ years specifically in FinOps or cloud financial governance.
Experience with cloud FinOps tools (AWS Cost Explorer, Azure Cost Management, GCP Billing), automation tools (Terraform, Ansible), and container orchestration (Docker, Kubernetes).
Work Experience Required: 6+ years in Cloud engineering/FinOps with minimum 3 years in cloud financial governance.
Experienced in technical advisory and implementing cloud cost-saving architecture and automation for AI/ML platforms at enterprise scale.
Strong skills in data-driven financial planning, building dashboards, KPI frameworks, and cost attribution models at tenant/application level across multi-cloud environments.
Proficient with Kubernetes cost optimization, AI platform economics, and ability to translate technical optimizations to business value for senior leadership.