Associate 2-KDNI
KPMG Global Services
SA1 / Sr. Engg - GTS BMS
About this role
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
Frequently Asked Questions
Is the salary disclosed for the SA1 / Sr. Engg - GTS BMS position at KPMG Global Services?
The salary for this SA1 / Sr. Engg - GTS BMS role at KPMG Global Services is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the SA1 / Sr. Engg - GTS BMS position at KPMG Global Services located?
This SA1 / Sr. Engg - GTS BMS role at KPMG Global Services is based in Bangalore, Karnataka, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the SA1 / Sr. Engg - GTS BMS role at KPMG Global Services full-time or part-time?
This is listed as a Full time position. It is posted as a SA1 / Sr. Engg - GTS BMS role at KPMG Global Services.
How do I apply for the SA1 / Sr. Engg - GTS BMS position at KPMG Global Services?
Click the "Apply Now" button on this page. You will be redirected to KPMG Global Services's official application portal hosted on oraclecloud where you can submit your application directly.
When was the SA1 / Sr. Engg - GTS BMS job at KPMG Global Services posted?
This SA1 / Sr. Engg - GTS BMS position at KPMG Global Services was posted on Aug 25, 2026. Apply as soon as possible — early applications are often reviewed first.
SA1 / Sr. Engg - GTS BMS
KPMG Global Services
You'll be redirected to KPMG Global Services's official application page on oraclecloud.