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Financial Services, Wealth Management, Investment Banking

Cloud Engineer

British Columbia, British Columbia, CanadaHybridContractPosted 2 months ago

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Role summary

This is a hybrid contract role for a Senior Azure Infrastructure & Cost Optimization Engineer in Vancouver. The primary focus is on FinOps and identifying cost inefficiencies within high-impact Azure services like Cosmos DB, Compute, Redis, Storage, Event Hubs, and Azure Postgres. Responsibilities include analyzing spend patterns, hands-on optimization of these services, evaluating microservices, capacity planning, and delivering clear, actionable, quantified recommendations. The role requires 5+ years of Azure infrastructure experience at scale, with a proven track record of measurable cost savings and strong stakeholder communication skills. Experience with Terraform/Bicep and observability tools is a plus.

Job Title: Senior Azure Infrastructure & Cost Optimization Engineer

Location: Hybrid : Vancouver

Contract on T4

Duration: 6 months (through end of June) + extension potential

What This Role Actually Is

This is not a general cloud engineering role.

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

1. Azure Cost & Utilization Analysis

  • Analyze spend patterns using Azure Advisor and Azure Cost Management + Billing.
  • Identify top cost drivers, inefficiencies, and waste.
  • Build clear baseline → root cause → recommendations → savings forecast reports.

2. Optimize High‑Impact Azure Services (Primary Focus Areas)

You will work hands‑on to tune and rightsize:

Cosmos DB

– RU/s optimization

– Indexing & partitioning strategy

– Autoscale vs. manual throughput

– TTL, point‑read usage, query efficiency

– Target: up to 5× cost reduction

Compute (VMs / VMSS / AKS)

– Right‑sizing vCPU/RAM

– 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

Azure Database for Postgres

– 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.

Ensure sustainable long‑term cost governance.

5. Deliver Clear, Actionable Recommendations

Your output is not academic analysis—it must be:

Practical

Quantified

Prioritized by impact

Low‑risk to implement

Examples:

Rightsize VMSS SKU

Reduce RU/s on least‑used partitions

Fix Redis memory pressure

Adjust node pool strategy

Introduce storage lifecycle policies

Optimize Postgres IOPS vs. workload

  • Operate Independently After Onboarding

Own the full investigation → diagnosis → recommendation → validation pipeline.

Communicate findings clearly to senior technical and non‑technical stakeholders.

Must‑Have Skills (Top 3)

Azure Infrastructure Cost Optimization & FinOps expertise

  • 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 clear action plans.
  • Excellent stakeholder communication skills.

Nice to Have

  • Terraform / Bicep experience.
  • 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).

Please let me know if you would like to proceed and send me your updated resume. Feel free to reach out at Harshiv@ifgpr.com if you have any questions.

Thanks

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