It is a specialized FinOps and Azure infrastructure optimization role focused on identifying cost inefficiencies and landing measurable savings across high‐impact Azure services.The team is specifically targeting 5× savings in Cosmos DB and meaningful reductions across compute, Redis, storage, event streaming, and Postgres.Core ResponsibilitiesAnalyze spend patterns using Azure Advisor and Azure Cost Management + Billing.Identify top cost drivers, inefficiencies, and waste.2. Optimize High‐Impact Azure Services (Primary Focus Areas)You will work hands‐on to tune and rightsize:RU/s optimizationIndexing & partitioning strategyAutoscale vs. manual throughputCompute (VMs / VMSS / AKS)Node pool strategyLimits/requests cleanupHPA/VPA evaluationReservations, Spot, Savings PlansAzure Cache for RedisSKU sizing, eviction policies, memory pressure tuningStorage (Blobs, Files)Tiering, lifecycle management, retention optimizationEvent HubsThroughput units, consumer efficiency, capture strategyInstance sizing, query tuning, autovacuum/I/O alignmentThese represent the largest and most addressable cost categories.3. Microservices & PaaS Footprint ReviewEvaluate microservices for idle workloads, over‐provisioned instances, unnecessary persistence layers, excessive replicas.Identify opportunities to consolidate or scale down.4. Capacity Planning & Scaling with Engineering LeadsWork with leads to define realistic SLO‐aligned capacity baselines.Optimize autoscaling triggers and eliminate chronic over‐allocation.5. Deliver Clear,



Actionable RecommendationsYour output is not academic analysis—it must be:PracticalQuantifiedPrioritized by impactLow‐risk to implementExamples:Reduce RU/s on least‐used partitionsFix Redis memory pressureAdjust node pool strategy6. Operate Independently After OnboardingCommunicate findings clearly to senior technical and non‐technical stakeholders.Must‐Have Skills (Top 3)Strong with Azure Advisor, Cost Management + Billing, reservations, tagging, anomaly detection, dashboards.Hands‐on optimization experience with Cosmos DB, Compute (VMs/VMSS/AKS), Redis, Storage, Event Hubs, and Azure PostgresAbility to materially reduce spend across these services.Infrastructure performance analysis & capacity/utilization engineeringDeep understanding of CPU/memory behavior, microservice patterns, and scaling mechanisms.Required Experience5+ years with Azure infrastructure at scale.Strong understanding of AKS, VMSS, microservices resource behavior.Proven track record of measurable cost savings in large Azure environments.Ability to translate complex technical findings into explicit action plans.Nice to HaveObservability stack knowledge: Azure Monitor, Log Analytics, App Insights.JVM/container tuning background for services running on AKS or VMSS.Experience implementing FinOps governance practices.Success MetricsCosmos DB spend reduced by up to 5× without performance regression.Compute savings of 30–50% through rightsizing and scale adjustments.Storage & data savings of ~25% through lifecycle and tiering.Improved governance (tag coverage, budgets, alerting). #J-18808-Ljbffr

📌 Cloud Cost Optimization Engineer (Vancouver)
🏢 IFG - International Financial Group
📍 Vancouver