About Position:

We are seeking a highly motivated Cloud Cost Optimization Engineer (FinOps) to drive cloud cost efficiency and financial governance across a portfolio of SaaS and hosted platforms. The ideal candidate will possess deep expertise in cloud infrastructure, FinOps practices, and cost optimization strategies across IBM Cloud (Classic & VPC Gen2), AWS, and Azure environments.

Role: Cloud Cost Optimization Engineer (FinOps)
Location: All Persistent Location
Experience: 9+ Years
Job Type: Full-Time Employment

What You'll Do:

Analyze cloud usage, billing, and consumption patterns across multiple products.
Identify and implement cost optimization opportunities across compute, storage, networking, and underutilized resources.
Drive migration from IBM Cloud Classic to VPC Gen2 architecture.
Implement rightsizing, auto-scaling, and storage tier optimization strategies.
Collaborate with SRE, DevOps, and Engineering teams to improve architecture efficiency.
Implement and govern FinOps practices including cost allocation, tagging strategies, and budget tracking.




Build dashboards and reports for cost trends, forecasting, and savings achieved.
Perform log and usage analysis to detect inefficiencies.
Ensure optimization efforts do not impact SLAs, reliability, or performance.
Drive continuous improvement initiatives to achieve 10–15% annual cloud cost reduction.

Expertise You'll Bring:

Hands-on experience with IBM Cloud (Classic & VPC Gen2).
Strong experience with AWS and/or Azure.
Strong understanding of cloud architecture, pricing models, and cost drivers.
Experience in cloud cost analysis, optimization, forecasting, and reporting.
Knowledge of autoscaling, containerization, and distributed systems.
Experience with monitoring and logging tools.
Robust analytical and data-driven decision-making skills.
Scripting expertise in Python and Shell.
FinOps Certified Practitioner.
Kubernetes/OpenShift cost optimization.
Terraform, Ansible, and Infrastructure as Code.
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📌 Cloud Cost Optimization Engineer (Pune)
🏢 Persistent Systems
📍 Pune