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Specialized FinOps/cloud skillset plus Bangalore metro location yields moderate applicant competition.
Role demands specialized FinOps and AI platform experience, limiting easy cross-industry transferability.
Explicit 6+ years, 3+ years FinOps requirement, and specific cloud/Kubernetes/FinOps tooling make shortlisting strict.
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Lead cloud financial optimization including AI/GenAI cost governance and Kubernetes workload efficiency across Azure, AWS, and GCP.
Develop and maintain automated technical guardrails and scripts for cost governance, detect and remediate inefficiencies at code and infrastructure level.
Build cloud financial forecasting models and KPIs; drive budgeting, cost anomaly detection, and present optimization strategies to leadership.
6+ years experience in Cloud Engineering, FinOps, or DevOps, including 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 AWS Cost Explorer, Azure Cost Management, GCP Billing, Terraform, Kubernetes production, and scripting (Python, Bash).
Location requirement: Bangalore.
Senior engineer with deep expertise in multi-cloud financial governance and cloud architecture for AI/ML platforms.
Strong analytical and technical execution skills for automation in cloud cost management and Kubernetes optimization.
Experienced in translating complex technical optimizations into business value metrics and collaborating with finance and engineering leadership.