Azure Cloud Engineer

  • Scarborough, ON
  • Posted 13 hours ago | Updated 13 hours ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 1 Month(s)

Skills

ARM
Access Control
Agile
Analytical Skill
Analytics
Artificial Intelligence
C#
Cloud Computing
Collaboration

Job Details

We are looking for a Azure Cloud Engineer for our client in Scarborough, ON
Job Title: Azure Cloud Engineer
Job Location: Scarborough, ON
Job Type: Contract
Job Description:

Responsibilities:

  • Design, implement, and maintain Azure cloud infrastructure in accordance with best practices for scalability, security, and cost efficiency.
  • Automate provisioning and configuration using Azure DevOps, Terraform, or ARM templates.
  • Build, maintain, and optimize CI/CD pipelines for integration and delivery across multiple environments.
  • Implement continuous testing, monitoring, and deployment using Azure DevOps, GitHub Actions, or Jenkins.
  • Ensure smooth deployments and rollback processes using Git-based version control.
  • Develop and maintain automation scripts and integration tools using Python, PowerShell, or C#.
  • Collaborate with development teams to containerize and deploy applications using Docker and Kubernetes (AKS).
  • Support integration and deployment of AI/ML models using Azure Machine Learning, Cognitive Services, or OpenAI Service.
  • Work alongside data and AI teams to ensure secure model deployment and monitoring.
  • Implement monitoring and alerting with Azure Monitor, Log Analytics, and Application Insights.
  • Manage access control, compliance, and enforce DevSecOps best practices.
Requirement/Must Have:
  • Bachelor s degree in Computer Science, Engineering, or related field.
  • 6 9 years of experience in Azure Cloud Engineering or related roles.
  • Hands-on experience with Azure DevOps, CI/CD pipelines, and Infrastructure as Code.
  • Strong scripting/coding skills in Python, PowerShell, or C#.
  • Familiarity with Docker, Kubernetes, and microservices architecture.
  • Understanding of AI/ML workflows (Azure ML, Cognitive Services, APIs).
  • Experience with cloud monitoring, logging, and troubleshooting.
Preferred Qualifications:
  • Azure certifications (AZ-104, AZ-204, AZ-400).
  • Experience deploying AI models to production.
  • Exposure to GitOps and DevSecOps methodologies.
  • Knowledge of REST APIs, event-driven architectures, and serverless computing (Azure Functions, Logic Apps).
Skills:
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Ability to work effectively in an agile, fast-paced environment.
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