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Metro Bangalore and broad multicloud FinOps requirements increase applicant density.
Cloud FinOps skills transfer across industries but require specific cloud and AI cost expertise.
Explicit 6+ years and 3+ FinOps years plus mandatory cloud and tooling skills make screening strict.
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Lead cloud cost optimization and financial governance across multi-cloud environments (Azure, AWS, GCP) focusing on AI/GenAI and Kubernetes workloads.
Develop and automate cloud FinOps governance mechanisms including financial forecasting, budgeting, tenant-level chargeback, and cost anomaly detection.
Architect and implement tenant-level metering, Kubernetes cost attribution, AI workload cost management, and scalable data pipelines to drive measurable cloud profitability.
6+ years experience in Cloud engineering, FinOps, or DevOps with at least 3 years in FinOps or cloud financial governance.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
Hands-on experience with cloud cost management tools (AWS Cost Explorer, Azure Cost Management, GCP Billing) and infrastructure automation tools like Terraform or Ansible.
Work Location: Bangalore.
Experienced in technical advisory with ability to conduct architectural reviews and provide code-level infrastructure optimization for cloud financial efficiency.
Strong expertise in Kubernetes and container cost optimization at enterprise scale including autoscaling, workload rightsizing, and tenant-level cost visibility.
Proficient in AI platform cost governance and financial analytics with ability to translate technical optimizations into business impact and collaborate with finance teams.