FinOps Engineer Job description

Key Responsibilities

Cost Visibility & Governance
Establish comprehensive cost visibility across AWS, Azure, GCP, On-Prem, and GPU infrastructure.
Develop and maintain FinOps dashboards using Cloud Cost Management tools, Snowflake, LogicMonitor, Power BI, or similar platforms.
Define tagging, cost allocation, chargeback, and showback frameworks.
Monitor budgets, spending trends, and cost anomalies.

Cost Optimization
Identify prospects for:
Rightsizing computing resources
Reserved Instances / Savings Plans optimization
Storage optimization
Kubernetes cost optimization
Idle and underutilized resource reclamation
GPU right-sizing and utilization improvement
Drive optimization initiatives across engineering and operations teams.
Measure realized and forecasted savings.

AI/GPU FinOps
Monitor GPU utilization metrics (DCGM, NVIDIA NVMI, GPU Telemetry).
Identify idle, underutilized, and dormant GPU resources.
Recommend GPU pooling, scheduling, and reclamation strategies.




Optimize AI/ML infrastructure cost-to-performance ratios.

Data Analytics & Forecasting
Build FinOps data models integrating:
AWS CUR
Azure Cost Management
GCP Billing Export
On-Prem utilization metrics
GPU telemetry data
Perform spend forecasting and capacity planning using statistical and ML-based models.
Develop predictive recommendations for scaling and budgeting.

Automation & Engineering
Develop automation workflows using Python and APIs.
Build scheduled jobs for cost analysis, rightsizing, and reporting.
Automate remediation actions were appropriate.
Integrate FinOps capabilities with ServiceNow, ITSM, and observability platforms.

Stakeholder Collaboration
Partner with CloudOps, Platform Engineering, DevOps, SRE, AI/ML, and Finance teams.
Conduct FinOps reviews and governance meetings.
Present optimization opportunities and business cases to leadership.
Drive FinOps adoption across engineering t

📌 Finops Engineer Movate Technologies Bengaluru
🏢 Movate Technologies
📍 Bengaluru