Cloud Engineering Manager

6 days ago

Aligarh, Uttar Pradesh, India beBeeCost Full time ₹ 72,00,000 - ₹ 1,08,00,000

Job Overview

This position supports operations across process optimization, data platform engineering, cost management and infrastructure.

We are looking for a professional who can analyze EDP platform workflows to identify opportunities for improvement, develop KPIs and performance dashboards, support the Enterprise Data Council with data-driven insights and contribute to lifecycle management of IT platform products.

Key Responsibilities:

  • Analyze EDP platform workflows to identify optimization opportunities
  • Develop comprehensive KPIs and performance dashboards for platform monitoring and decision-making
  • Support the Enterprise Data Council with data-driven insights for strategic direction and product management
  • Contribute to lifecycle management of IT platform products (Databricks, AWS services, Ataccama)

Additional Responsibilities:

  • Execute cloud cost optimization initiatives with focus on anomaly detection and cost avoidance strategies
  • Maintain sophisticated cost models and estimation frameworks for infrastructure services and resiliency capabilities
  • Support Reserved Instances (RI) and Savings Plans (SP) optimization to achieve annual 10% cost savings target
  • Generate strategic cost reporting and variance analysis for leadership and vendor management
  • Support vendor management activities for AWS, Databricks and other cloud technology providers

Infrastructure Operations & Resiliency Support:

  • Monitor platform utilization, performance metrics and operational health across EDP services
  • Support L1/L2 operational activities for EDP Vanguard (Operations & Support Team)
  • Assist with capacity planning, resource allocation and infrastructure automation initiatives
  • Contribute to resiliency implementation planning, specifically for Nuclear critical pipelines
  • Support RTO/RPO analysis and disaster recovery cost modeling
  • Participate in Infrastructure as Code (IaC) and CI/CD pipeline analytics

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