Azure Cloud Engineer

Position Title:
Azure Cloud Engineer
Position Type:
Regular - Full-Time
Requisition :
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…