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We are currently requesting resumes for the following position : FinOps Engineer Resume Due Date : Wednesday, February 4th, 2026 (5:00PM EST) Employment Type : Incorporated Contractor Number of Vacancies : 1 Level :MP4 Contract Duration :12 Months (renewable) Hours of work: 35 per week Hourly Rate: $90-$95+HST Security Clearance will be required for the selected applicant as a condition of employment. FinOps Engineer (Azure) HandsOn Technical Role Job Overview The FinOps Engineer/Practitioner is a highly hands-on technical role responsible for implementing and operating cloud financial management (FinOps) practices with a strong focus on Microsoft Azure . This position requires strong, demonstrable coding skills , particularly in Python , to build ETL pipelines, automate FinOps processes, and analyze large-scale cloud cost and usage data. The FinOps Engineer works closely with engineering, finance, and product teams to drive cost optimization, increase financial transparency, and embed financial accountability into cloud operations. This role is not advisory-only ; it requires the ability to design, code, automate, and maintain FinOps solutions in production environments. Key Responsibilities: Hands on Cost Optimization Analyze Azure cloud usage and spend to identify inefficiencies and cost-saving opportunities. Implement optimization strategies such as rightsizing, reservations, savings plans, and waste elimination. Translate cost insights into actionable, technical solutions. Data Engineering & Coding (Core Requirement) Design, build, and maintain ETL pipelines using Python to ingest, transform, and aggregate Azure cost and usage data from multiple sources. Write clean, efficient, and maintainable Python code for data processing, automation, and analysis. Work with structured and semi-structured data at scale. Automation Develop and maintain automation scripts and workflows for: Cost allocation and chargeback/showback Anomaly detection and alerts Reduce manual FinOps effort through repeatable, code-driven solutions. Build and maintain Grafana dashboards that provide clear, actionable insights into cloud spend, trends, and optimization opportunities. Ensure dashboards are data-driven, accurate, and aligned with business needs. Actively contribute to the FinOps backlog in Azure DevOps , including estimation and delivery. Collaborate with the FinOps Product Owner to translate requirements into technical deliverables. Partner with engineering, finance, and procurement teams to support budgeting, forecasting, and financial governance. Clearly communicate technical cost drivers and optimization outcomes to both technical and non-technical stakeholders. Governance, Documentation & Education Support governance and policy enforcement to ensure Azure resources comply with organizational standards. Create and maintain technical documentation for FinOps tools, pipelines, and automation. Advocate for FinOps best practices and educate teams on the financial impact of their cloud usage. Required Qualifications Education Bachelors degree in Computer Science, Finance, Engineering, or a related field. FinOps Certified Practitioner and/or Microsoft Azure certifications are considered strong assets. Experience 2+ years of hands-on experience in cloud engineering, DevOps, or cloud financial management. Proven, practical experience working with Microsoft Azure in production environments. Demonstrated experience writing and maintaining Python code for real-world use cases. Required Skills (Must-Have) Strong hands-on Python development skills for ETL, automation, and data analysis. In-depth knowledge of Azure services, billing, and cost management . Experience implementing cloud cost optimization strategies (not just identifying them). Hands-on experience building dashboards and reports using Grafana . Familiarity with Azure DevOps for backlog management and workflow execution. Strong analytical and problem-solving skills with attention to detail. Excellent communication and collaboration abilities. Nice-to-Have / Assets Experience with Azure Data Factory, Databricks, and Parquet . Experience with financial chargeback/showback models. Background in governance, compliance, or policy automation. Important Note for Candidates This role requires strong, hands-on coding ability . Candidates must be able to demonstrate practical experience writing Python code, building data pipelines, and automating FinOps processes. Conceptual knowledge alone will not be sufficient for this position. #J-18808-Ljbffr