​ Position Title: Azure Cloud Engineer Position Type: Regular - Full-Time ​ Requisition ID: 40945 ​ The Cloud Engineer is responsible for engineering, implementing, documenting, and delivering robust cloud and hybrid platforms and services on Microsoft Azure, with an emphasis beyond foundational landing zone design. This role provides technical guidance to business stakeholders, ensuring technical requirements are understood and met, and supports the implementation and delivery of secure, scalable, and cost-effective cloud services. Preference will be given to candidates with demonstrated hands-on experience across the Azure ecosystem, Microsoft 365, Microsoft Copilot, and Azure AI/foundational services to support emerging business needs. Key Responsibilities End-to-End Azure Engineering: Engineer and implement cloud and hybrid solutions across compute, networking, identity, security, data, and integration services—beyond landing zone patterns. Azure Migration & Modernization: Engineer and support migration and modernization initiatives for applications and data to Azure; assess current systems, plan implementation approaches, and ensure secure, efficient transitions. Microsoft 365 & Copilot Enablement: Partner with stakeholders to identify and deliver cloud engineering use cases leveraging Microsoft 365 and Microsoft Copilot capabilities; translate productivity and AI opportunities into actionable technical designs. Azure AI / Foundational Services: Implement cloud engineering patterns that incorporate Azure AI and foundational services where appropriate (e.g., AI-enablement, platform capabilities, governance considerations) to support upcoming initiatives. Cloud Engineering Governance & Standards: Implement cloud engineering solutions in alignment with organizational requirements for data governance, security, compliance, resiliency, performance, and cost. Technical Leadership: Create white papers and presentations for leadership, communicate the value of cloud, M365, and AI/Copilot capabilities, and support stakeholder understanding of engineering solutions and platform capabilities. Coaching & Collaboration: Mentor and challenge team members; share skills and system knowledge through formal and informal channels; communicate effectively with project teams and management. Continuous Improvement: Stay current on industry technologies, Azure platform changes, M365/Copilot evolution, and best practices; contribute to reusable engineering patterns and implementation guidance. Ensure solutions and migrations are designed to be AI‑ready and aligned to McCain’s enterprise AI platform, governance, and observability standards. Partner with the AI Platform team to ensure workloads integrate with approved Copilot, agent, and AI service patterns. Ensure implemented solutions maintain a clear separation between systems of record and AI-augmented experiences. AI orchestration and workflow engineering: Implement end-to-end AI orchestration solutions, engineer AI workflows, and apply prompt engineering best practices. Observability for AI cloud engineering components: Implement logging, metrics, tracing, and evaluation requirements to support monitoring, reliability, and governance. Measures of Success Delivery of stable, scalable, and secure Azure cloud engineering outcomes beyond foundational landing zone work. Successful migration/modernization outcomes and measurable optimization of performance and cost. Effective enablement and adoption support for Microsoft 365 and Copilot-related engineering solutions. Clear, reusable engineering patterns and strong collaboration with business and IT teams. Solutions and migrated applications can safely consume or expose AI capabilities without rework. No unmanaged or non-governed AI usage introduced through solution or migration design. Key Qualifications & Experience University degree in Computer Science (or related field) or equivalent work experience. Minimum 8+ years as a Cloud Engineer supporting complex enterprise environments. Highly seasoned, deep experience across Microsoft Azure services (compute, network, identity, security, data, integration, monitoring, cost management). Demonstrated experience with Microsoft 365 service architecture and modern workplace capabilities. Strong preference for candidates with demonstrated experience delivering or enabling cloud engineering capabilities involving Microsoft Copilot, Azure AI services, and related enterprise AI capabilities, including governance, enablement, and adoption considerations. Designed and implemented MCP-compatible services to extend Microsoft Copilot capabilities with external data sources Integrated Copilot with enterprise systems (CRM, ERP, internal APIs) using MCP server architecture Proven track record implementing and maintaining engineering standards, best practices, and documentation. Strong process, time management, stakeholder engagement, and communication skills. Certifications (Preferred) Microsoft Certified: DevOps Engineer Expert Microsoft Certified: Azure Security Engineer Associate Microsoft Certified: Azure Network Engineer Associate Microsoft Certified: Security, Compliance, and Identity Fundamentals Microsoft Certified: Azure AI Engineer Associate (strongly preferred, especially for candidates with Microsoft Copilot and enterprise AI implementation experience) Technical Skills Deep understanding of core Azure cloud computing services and enterprise-scale engineering patterns. Experience engineering, deploying, and optimizing Azure resources with strong governance, security, and cost management practices. Knowledge of hybrid connectivity, backup, disaster recovery, and security best practices. Working knowledge of Microsoft 365 service capabilities relevant to enterprise productivity solutions. Strong preference for experience with Microsoft Copilot, Azure AI services, and associated enterprise enablement, security, governance, and integration considerations. Ability to communicate complex technical topics clearly to technical and non-technical audiences. Key Competencies Enterprise & Systems Thinking Engineering Leadership Strategic Problem Solving Collaboration & Technical Influence Business Outcome Focus Compensation Package: $85,500.00 - $114,000.00 . CAD annually + Bonus Eligibility The above reflects the target compensation range for the position at the time of posting. Hiring compensation will be determined based on experience, skill set, education and training, and other organizational needs. This posting is for an existing vacancy. Benefits: At McCain, we’re on a mission to create a winning culture that puts employee safety and well-being at the heart of what we do, every day. We understand and appreciate that each person’s needs are unique and ensure our benefits & well-being programs reflect that. Employees are eligible for the following benefits: health coverage (medical, dental, vision, prescription drug), retirement savings benefits, and leave support including medical, family and bereavement. Well-being programs include vacation and holidays, company-supported volunteering time, and mental health resources. Coverages are aligned with applicable law and can vary by work level, location, and nature of the role. Additional benefit detail available during the application process. Your well-being matters to us, and we’re here to provide you with the necessary resources to support you in being your best self at work — and at home. McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law.

McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know, and we will work with you to find appropriate solutions. Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain’s Global Privacy Policy and Global Employee Privacy Policy, as applicable. McCain leverages AI in the hiring process, though all final decisions are made by humans. You can understand our approach to AI and how your personal information is being handled here. Job Family: Information Technology Location(s): CA - Canada : Ontario : Toronto || CA - Canada : New Brunswick : Florenceville-Bristol Company: McCain Foods (Canada)