Lead FinOps initiatives as a Cloud Cost Optimization Engineer, focusing on reducing costs on Azure services, including Cosmos DB. Drive measurable savings in various computing and storage solutions.

This position emphasizes hands-on experience and analytical skills in optimizing high-impact Azure services. The Cloud Cost Optimization Engineer will delve into Azure Advisor for spend analysis, fine-tune Cosmos DB settings, and address inefficiencies across compute resources. The core focus is on achieving significant cost reductions by implementing practical and actionable recommendations.

Key Responsibilities:
• Analyze spending patterns via Azure Advisor and Cost Management
• Optimize Cosmos DB for RU/s and indexing
• Improve compute strategies for VMs, VMSS, and AKS




• Tune Azure Cache for Redis and Storage solutions
• Evaluate microservices for waste and over-provisioning

Requirements:
• 5+ years experience with Azure infrastructure
• Robust in Azure Advisor, Cost Management, and anomaly detection
• Proven track record of cost savings in Azure
• Hands-on experience with Cosmos DB, Compute, and Redis
• Deep understanding of performance analysis and capacity trends

Utilize your expertise to identify cost inefficiencies and enhance Azure services effectively.
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📌 Azure Cost Optimization Engineer Role (British Columbia)
🏢 IFG - International Financial Group
📍 British Columbia