SA1 / Sr. Engg - GTS BMS Roles &

responsibilities Drive cloud financial management across Azure, including spend analysis, budgeting, forecasting, anomaly detection, and optimization. Analyze cloud billing, utilization, and operational data to identify cost-saving opportunities and improve financial accountability.

Develop

FinOps dashboards, reports, and KPIs for spend, savings, unit economics, and optimization tracking. Automate cloud cost analysis and reporting using Python, KQL, Azure Logic Apps, and data engineering solutions. Build forecasting models and predictive analytics to estimate future cloud and AI workload costs.

Partner with CloudOps, architects, engineering teams, and business stakeholders to implement cost-efficient cloud solutions. Manage and monitor AI/GenAI costs, including token consumption, model utilization, AI chargeback/showback, and AI cost governance. Leverage AI and automation to generate optimization recommendations, improve reporting, and accelerate savings realization.

Support development of scalable FinOps platforms and self-service capabilities for cloud and AI cost management. Roles &

responsibilities Drive cloud financial management across Azure, including spend analysis, budgeting, forecasting, anomaly detection, and optimization. Analyze cloud billing,



utilization, and operational data to identify cost-saving opportunities and improve financial accountability.

Develop

FinOps dashboards, reports, and KPIs for spend, savings, unit economics, and optimization tracking. Automate cloud cost analysis and reporting using Python, KQL, Azure Logic Apps, and data engineering solutions. Build forecasting models and predictive analytics to estimate future cloud and AI workload costs.

Partner with CloudOps, architects, engineering teams, and business stakeholders to implement cost-productive cloud solutions. Manage and monitor AI/GenAI costs, including token consumption, model utilization, AI chargeback/showback, and AI cost governance. Leverage AI and automation to generate optimization recommendations, improve reporting, and accelerate savings realization.

Support development of scalable FinOps platforms and self-service capabilities for cloud and AI cost management. This role is for you if you have the below Educational qualifications Education: B.E/B.Tech/ MCA/ MTech in Computer Science or related technical discipline is required. Work experience 5 Years of FinOps Experience on Microsoft Azure Experience Level Senior Level

📌 Senior FinOps Engineer - Cloud Cost Management (Bengaluru)
🏢 KPMG India Services
📍 Bengaluru