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Metro Bangalore role with specialized FinOps/cloud skills yields moderate competition.
Cloud FinOps and AI-cost expertise transferable across sectors but requires specific multi-cloud and Kubernetes experience.
Explicit 6+ years, 3+ years FinOps, multi-cloud and tooling requirements make screening strict.
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Lead cloud financial optimization and governance across AWS, Azure, and GCP, focusing on AI/GenAI cost control, Kubernetes workload efficiency, and enterprise chargeback methodologies.
Develop and automate cloud cost governance mechanisms including scripts and Infrastructure as Code to prevent cost leakage and enable tenant-level cost accountability.
Build financial forecasting models, KPI dashboards, and present cost optimization insights to leadership, integrating tech-level improvements with business value metrics.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
Minimum 6 years experience in Cloud Engineering, FinOps, or DevOps roles, including at least 3 years in FinOps or cloud financial governance.
Hands-on experience with AWS Cost Explorer, Azure Cost Management, GCP Billing, FinOps tools (e.g., CloudHealth), and automation tools such as Terraform or Ansible.
Proficiency in data analytics and visualization tools like SQL, Python, Power BI, Tableau, or Grafana for cost analytics dashboards.
Experienced in multi-cloud environments with deep knowledge of cloud billing models, pricing structures, and cost optimization strategies focused on AI/ML platforms.
Pragmatic engineer skilled in Kubernetes cost optimization, cloud automation (Terraform, scripting), and building scalable tenant-level usage and chargeback systems.
Capable of translating technical architecture reviews and optimizations into business financial outcomes and able to collaborate effectively with Finance and Engineering leadership.