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
Solid 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.

📌 Azure Cost Optimization Engineer Role Vancouver (Canada)
🏢 IFG - International Financial Group
📍 Canada