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Position Title: Azure Cloud Engineer Position Type: Regular - Full-Time Requisition ID: 40945 In every role, McCainers are ambitious, curious, and passionate about creating exceptional work experiences - together. With a customer-first mindset, we make doing business with McCain easy. About The Role 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 About McCain. Click Here to learn more about McCain and how we provide you with opportunities to make an impact that matters. Leadership principles. At McCain, our leadership principles guide how we engage with customers, collaborate as a team, and achieve success. We focus on understanding customer needs, driving innovation, empowering people, and taking ownership to clear obstacles and deliver results. The McCain Experience. We are McCain. This statement is a testament to our collective strength and our individual value. Your contributions play a vital role in our success. Our winning culture is rooted in authenticity and trust, empowering us to bring out the best in one another. Here, you’ll find opportunities to learn, grow, and thrive. Join us and experience why we’re better together. Our purpose is grounded in building meaningful relationships. We’re big believers in the power of working together in person—it helps us stay connected, collaborate more effectively, and grow as a team. At the same time, we recognize the importance of flexibility. Most office-based roles follow a hybrid model, with the option to work remotely two days a week. There may be exceptions depending on the role and location, so we encourage you to speak with your recruiter for more details. Compensation Package : $85,500.00 - $114,000.00 . CAD annually + Bonus Eligibility The above reflects the target compensation range for
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.