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Medium - metro Bangalore, known employer, niche FinOps specialization reduces broad applicant competition.
High - role requires specialized cloud FinOps, Kubernetes and AI cost governance expertise not easily transferable.
High - explicit 6+ years plus 3+ years FinOps and many mandatory cloud, Kubernetes, and tooling skills.
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Lead cloud financial optimization and cost governance across Azure, AWS, and GCP, focusing on AI/GenAI and Kubernetes workloads.
Develop and maintain automated scripts and Infrastructure as Code (Terraform) to enforce cost governance and prevent cost leaks.
Build financial forecasting models, KPI frameworks, and executive dashboards to drive cloud budgeting, reporting, and tenant-level 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 roles, including 3+ years specifically in FinOps or cloud financial governance.
Hands-on experience with AWS Cost Explorer, Azure Cost Management, GCP Billing, Terraform, Kubernetes, and FinOps tools (e.g., CloudHealth).
Strong skills in SQL, Python, Power BI/Tableau/Grafana for cost analytics and dashboard building.
Experienced in multi-cloud environments with deep knowledge of cloud billing models and cost optimization specific to AI/ML and Kubernetes platforms.
Capable of translating high-level financial savings targets into actionable technical strategies and automation for enterprise-scale cloud environments.
Proficient in combining technical cloud architecture expertise with financial analytics to influence leadership-level decision making and governance.