SA1 / Sr. Engg - GTS BMS
Kpmg India Services Llp
Work from Office
Full Time
Min. 5 yearsJob Description
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-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.
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 LevelJob role
Job requirements
About company
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The candidate should have completed the required education and people who have 5 to 31 years are eligible to apply for this job. You can apply for more jobs in Bengaluru/Bangalore to get hired quickly.
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