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Senior Azure DevOps / AI Platform DevOps Specialist

Canada, Saint-Laurent · Job Posted July 13, 2026
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Job Description

Ottawa based: Seeking an experienced Senior Azure DevOps / AI Platform DevOps Contractor to join our team. The ideal candidate will bring deep expertise in Azure cloud deployment, modern GitLab CI/CD practices, and hands-on experience with Kubernetes or OpenShift. Strong proficiency in Python scripting and automation is required, along with experience in networking, security, and enterprise integrations. Experience supporting or deploying AI/ML workloads into production is highly desirable.

Job Responsibility

  • Implement and optimize DevOps practices within an Azure cloud environment, ensuring security, scalability, resilience, and reliability
  • Design, build, and maintain robust GitLab CI/CD pipelines to accelerate software delivery, infrastructure automation, and production deployment
  • Support the deployment and operation of containerized workloads using Kubernetes and/or OpenShift, applying platform engineering and operational best practices
  • Contribute to the design and delivery of AI/Agentic AI DevOps capabilities, enabling secure, production-ready deployment of AI workloads and supporting associated infrastructure and controls
  • Drive automation for infrastructure provisioning, configuration, and deployment using Infrastructure as Code principles and repeatable engineering practices
  • Collaborate closely with development, operations, security, and enterprise platform teams to troubleshoot and resolve complex live performance, stability, and integration issues, while implementing preventative improvements
  • Support release planning, deployment scheduling, and operational readiness for cloud-hosted and AI-enabled applications
  • Provide technical guidance and recommendations to engineering teams based on operational analysis, observability data, and platform monitoring insights
  • Ensure solutions align with enterprise requirements for security, authentication, access control, governance, and integration with corporate systems
  • Stay current with emerging DevOps, Azure, Kubernetes, and AI platform technologies, sharing knowledge and mentoring team members where appropriate

Requirements

  • Proven experience deploying, managing, and optimizing applications and platforms in Microsoft Azure
  • Strong hands-on experience with Kubernetes, including cluster operations, workload deployment, and platform best practices
  • Strong understanding of networking and security, particularly in cloud and containerized environments
  • Demonstrated success designing and maintaining GitLab CI/CD pipelines for enterprise-scale applications and services
  • Strong scripting and automation capability using Python, with Bash or similar scripting also desirable
  • Experience integrating solutions with enterprise systems, including identity, authentication, and access management components
  • Strong troubleshooting skills with a proactive approach to reliability, operational support, and continuous improvement
  • Ability to communicate effectively with both technical and non-technical stakeholders
  • Desirable experience supporting AI/ML or Agentic AI workloads in production
  • Experience: Minimum 5 years of relevant experience in DevOps or Cloud Engineering roles
  • Significant expertise in Microsoft Azure cloud services and deployments
  • Must have expertise in AI workflow ( experience supporting AI/ML or Agentic AI workloads in production)
  • A proven track record of building and supporting CI/CD pipelines within enterprise environments
  • Strong scripting and automation skills, with a specific focus on Python

Nice to have

  • Infrastructure as Code (IaC): Hands-on coding experience with Terragrunt and Terraform
  • Testing: Experience integrating automated testing into the deployment lifecycle
  • Process Management: Experience implementing and managing comprehensive DevOps processes and best practices

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