FinOps Engineer

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 opportunities 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 teams.

Required Technical Skills

Cloud Platforms

- AWS: Cost Explorer, CUR (Cost & Usage Reports), Compute Optimizer, Trusted Advisor
- Azure: Azure Cost Management, Azure Advisor, Azure Reservations
- GCP: Billing Export, BigQuery, Recommender

FinOps & Cost Management

- FinOps Framework, Chargeback / Showback Models, Budgeting & Forecasting, Cost Allocation & Tagging, Unit Economics, Cloud Financial Management

Data & Analytics

- Snowflake, SQL, Power BI / Tableau, Data Modeling, Forecasting Techniques, Cost Analytics

Automation & Development

- Python, APIs, Terraform, Git, CI/CD Pipelines

Infrastructure & Platform Technologies

- Kubernetes, Docker, VMware, Linux, AI/ML Infrastructure, NVIDIA GPU Platforms

Observability Platforms

- LogicMonitor, Datadog, Grafana, Prometheus

Preferred Qualifications

- 10+ Years of Overall IT Experience with a minimum of 3-5 years in FinOps, Cloud Cost Management, Infrastructure Operations, or Cloud Financial Management.
- Bachelor’s degree in engineering in Computer Science or a related discipline.
- FinOps Certified Practitioner or FinOps Certified Professional
- AWS Solutions Architect / Cloud Practitioner
- Azure Administrator or Azure Architect
- GCP Cloud Engineer
- Experience supporting enterprise-scale cloud environments
- Experience with AI Factory, HPC, or GPU-based infrastructure environments

Desired Competencies

- Solid analytical and problem-solving skills
- Business and financial acumen
- Executive communication capabilities
- Data-driven decision making
- Stakeholder management
- Continuous improvement mindset
- Automation-first approach
- Ability to influence engineering and finance teams

📌 FinOps Engineer Movate Technologies (Bengaluru)
🏢 Movate Technologies
📍 Bengaluru