FinOps Engineer Movate Technologies

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 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

• Strong 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