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 Responsibilities

- Analyze 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 optimization
- Indexing & partitioning strategy
- Autoscale vs. manual throughput

Compute (VMs / VMSS / AKS)

- Node pool strategy
- Limits/requests cleanup
- HPA/VPA evaluation
- Reservations, Spot, Savings Plans

Azure Cache for Redis

- SKU sizing, eviction policies, memory pressure tuning

Storage (Blobs, Files)

- Tiering, lifecycle management, retention optimization

Event Hubs

- Throughput units, consumer efficiency, capture strategy
- Instance sizing, query tuning, autovacuum/I/O alignment

These represent the largest and most addressable cost categories.

3. Microservices & PaaS Footprint Review

- Evaluate 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 Leads

- Work with leads to define realistic SLO‑aligned capacity baselines .
- Optimize autoscaling triggers and eliminate chronic over‑allocation.

5. Deliver Clear, Actionable Recommendations





Your output is not academic analysis —it must be:

- Practical
- Quantified
- Prioritized by impact
- Low‑risk to implement

Examples:

- Reduce RU/s on least‑used partitions
- Fix Redis memory pressure
- Adjust node pool strategy

6. Operate Independently After Onboarding

- Communicate 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 Postgres

- Ability to materially reduce spend across these services.

Infrastructure performance analysis & capacity/utilization engineering

- Deep understanding of CPU/memory behavior, microservice patterns, and scaling mechanisms.

Required Experience

- 5+ 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 Have

- Observability 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 Metrics

- Cosmos 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).

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