Senior Azure DevOps​/AI Platform DevOps Specialist

Position: Senior Azure DevOps / AI Platform DevOps Specialist
Location: Montreal

Ottawa based:
Seeking an experienced Senior Azure Dev Ops / AI Platform Dev Ops Contractor to join our team. The ideal candidate will bring deep expertise in Azure cloud deployment, modern Git Lab CI/CD practices, and hands-on experience with Kubernetes or Open Shift. 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.

Advantages
Experience implementing data governance and control frameworks.
Experience using Hashi Corp Vault for secrets management.
Experience using and securing S3-compatible object storage, such as MinIO.
Experience creating and optimizing production-grade Git Lab CI/CD workflows.
Strong experience in Kubernetes cluster administration and operational best practices.
Expert knowledge of Kubernetes deployments using Helm.

Experience with NVIDIA GPU Operator and GPU features such as time-slicing and MIG slicing.

Experience with LDAP and SSO authentication flows.
Experience building and securing Docker images.
Strong scripting capability in Bash and Python.
Experience implementing RBAC controls, particularly in environments handling sensitive data.
Experience implementing security and compliance tooling, including vulnerability scanning and SAST.
Experience using tools such as Prometheus and Grafana for monitoring, observability, and audit support.
Experience designing and implementing highly available systems.

Responsibilities
Implement and optimize Dev Ops practices within an Azure cloud environment, ensuring security, scalability, resilience, and reliability.
Design, build, and maintain robust Git Lab CI/CD pipelines to accelerate software delivery, infrastructure automation, and production deployment.
Support the deployment and operation of containerized workloads using Kubernetes and/or Open Shift, applying platform engineering and operational best practices.
Contribute to the design and delivery of AI/Agentic AI Dev Ops 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 Dev Ops, Azure, Kubernetes, and AI platform technologies, sharing knowledge and mentoring team members where appropriate.

Qualifications
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 Git Lab 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.

Summary

Role Overview :
We are looking for a Senior Azure Dev Ops / AI Platform Dev Op to join our Dev Ops team. This role is specifically focused on managing and optimizing applications deployed within the Microsoft Azure cloud environment with a focus on AI workflow
Must-Have Requirements:

Experience:

Minimum 5 years of relevant experience in Dev Ops or Cloud Engineering roles.
Azure Expertise:
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)
CI/CD: A proven track record of building and supporting CI/CD pipelines within enterprise environments.
Automation:
Strong scripting and automation skills, with a specific focus on Python.
Nice-to-Have

Skills:

Infrastructure as Code (IaC):
Hands-on coding experience with Terragrunt and Terraform.
Testing:
Experience integrating automated testing into…