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Azure Cloud Engineer

30 minutes ago

Scarborough Village, Ontario, Canada Enterprise Solutions Inc. Full time

Job Title:
Azure Cloud Engineer

Location:
Scarborough, ON (On-site / Hybrid – as applicable)

Job Summary

We are seeking an experienced
Azure Cloud Engineer
with strong expertise in
CI/CD pipeline automation, cloud application development, and AI/ML integration
within Azure environments. The ideal candidate will be responsible for designing, implementing, and managing scalable, secure, and high-performing Azure cloud solutions while enabling
AI-driven innovations
across enterprise applications.

Key Responsibilities

Cloud Infrastructure & Deployment

  • Design, implement, and maintain Azure cloud infrastructure following best practices for scalability, security, and cost optimization.
  • Automate infrastructure provisioning and configuration using
    Azure DevOps, Terraform, ARM/Bicep templates
    .
  • Ensure high availability, reliability, and performance of cloud environments.

CI/CD Pipeline Management

  • Build, maintain, and optimize
    CI/CD pipelines
    for seamless integration and deployment across multiple environments.
  • Implement continuous testing, monitoring, and automated deployments using
    Azure DevOps, GitHub Actions, or Jenkins
    .
  • Manage source control, branching strategies, deployment approvals, and rollback mechanisms using
    Git
    .

Coding & Application Development

  • Develop and maintain automation scripts, tools, and integrations using
    Python, PowerShell, or C#
    .
  • Collaborate with application teams to containerize and deploy applications using
    Docker and Azure Kubernetes Service (AKS)
    .
  • Support microservices-based application architectures.

AI & Data Integration

  • Support integration of
    AI/ML models
    into cloud-based applications using
    Azure Machine Learning, Cognitive Services, or Azure OpenAI Service
    .
  • Collaborate with data science and AI teams to enable secure model deployment, monitoring, and lifecycle management in production environments.

Monitoring & Security

  • Implement monitoring, logging, alerting, and performance optimization using
    Azure Monitor, Log Analytics, and Application Insights
    .
  • Enforce security best practices, manage access controls (RBAC), and support
    DevSecOps
    initiatives.
  • Ensure compliance with organizational and industry security standards.

Required Skills & Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 6–9 years
    of experience in Azure Cloud Engineering or similar roles.
  • Strong hands-on experience with
    Azure DevOps, CI/CD pipelines, and Infrastructure as Code (IaC)
    .
  • Proficiency in
    Python, PowerShell, or C#
    .
  • Experience with
    Docker, Kubernetes (AKS), and microservices architecture
    .
  • Understanding of
    AI/ML workflows
    , tools, and cloud-based APIs (Azure ML, Cognitive Services).
  • Experience with cloud monitoring, logging, and troubleshooting.

Preferred Qualifications

  • Azure certifications such as
    AZ-104, AZ-204, AZ-400
    .
  • Experience integrating AI/ML models into production environments.
  • Exposure to
    GitOps and DevSecOps
    practices.
  • Knowledge of
    REST APIs, event-driven architectures
    , and serverless services (
    Azure Functions, Logic Apps
    ).

Soft Skills

  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder collaboration abilities.
  • Ability to work effectively in an
    Agile, fast-paced environment
    .