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FinOps Engineer

Job in Oshawa, Ontario, Canada
Listing for: Rodan Energy Solutions
Full Time position
Listed on 2026-03-13
Job specializations:
  • IT/Tech
    Data Engineer
  • Engineering
    Data Engineer
Job Description & How to Apply Below
Position: OPEN: FinOps Engineer

We are currently requesting resumes for the following position:
Fin Ops Engineer

Resume Due Date:
Wednesday, February 4, (5:00PM EST)

Job : 25-

Number of Vacancies: 1

Level: MP4

Duration: 12 Months

Hours of work: 35 Hours per week

Work Location: Oshawa, ON

Work Mode: Hybrid – 1 day remote per week

Hourly Rate: $90-$95

Job Overview

Looking for someone who has a passion for cloud financial management, cost optimization, and building automation at scale? We are seeking a Fin Ops Engineer to join our team and lead the implementation and operation of Fin Ops practices with a focus on Microsoft Azure. This role is ideal for someone with a strong cloud/infrastructure engineering background who also brings strong development and data engineering skills.
You will work with large datasets, APIs, and automation tools to support Fin Ops processes and contribute to the development of internal tooling that functions similarly to a SaaS application. In this role, you will collaborate with engineering, finance, and product teams to drive cost efficiency, transparency, and financial accountability in cloud operations.

Responsibilities will include:

  • Cost Optimization:
    Analyze Azure cloud usage and spend to identify and implement cost-saving opportunities, including rightsizing, reservations, and eliminating waste.
  • Data Engineering:
    Build and maintain ETL pipelines using Python to collect, transform, and aggregate Azure cost and usage data from multiple sources.
  • Dashboarding & Reporting:
    Develop and maintain Grafana dashboards that provide actionable insights into cloud spend, usage trends, and optimization opportunities.
  • Backlog Contribution:
    Work with the Fin Ops Product Owner to define, estimate, and deliver backlog items in Azure Dev Ops, contributing technical expertise to product planning.
  • Automation:
    Automate routine Fin Ops tasks such as tagging enforcement, anomaly detection, and cost allocations.
  • Collaboration:

    Partner with engineering, finance, and procurement teams to support budgeting, forecasting, and chargeback processes.
  • Documentation:
    Create and maintain documentation for Fin Ops processes, tools, and best practices.
  • Education:

    Advocate for Fin Ops best practices across the organization, helping teams understand the financial impact of their cloud usage.
  • Governance & Compliance:
    Support governance and policy enforcement to ensure cloud resources are compliant with organizational standards.

Qualifications

Education:

  • Bachelor’s degree in Computer Science, Software Engineering, Finance, or related field.
  • Fin Ops Certified Practictioner or Microsoft Azure certifications are a plus
  • Experience – 2+ years in cloud engineering, Dev Ops, data engineering, platform engineering or cloud financial management, with hands-on experience in Microsoft Azure.

Skills:

  • Strong working knowledge of Azure services, billing, pricing, and cost management.
  • Proficiency in Python for data processing, automation, ETL and API Integrations.
  • Experience working with large datasets and formats such as JSON, CSV, and Parquet
  • Strong understanding of REST APIs, data ingestion, and service-to-service integrations.
  • Experience with Grafana for building dashboards and reports.
  • Proficiency with KQL for analytics, dashboarding, and data exploration.
  • Experience with Power Shell for scripting and automation tasks.
  • Familiarity with Azure Dev Ops for backlog and workflow management.
  • Solid understanding of cloud cost optimization strategies and tools.
  • Analytical mindset with strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration abilities.
  • Additional skills in Azure Data Factory, Databricks, SaaS/platform devleopment, or distributed data processing are a plus.
  • Solid understanding of cloud cost optimization strategies and tools.
  • Analytical mindset with strong problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Additional skills in Azure Data Factory, Databricks, Parquet are a plus.

Our client is dedicated to promoting employment equity and encourages applications from equity-seeking communities including but not limited to:
Indigenous Peoples, racialized individuals, persons with disabilities, and women. Our client…

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