Senior Azure DevOps / AI Platform DevOps Specialist

Randstad Canada; Saint-Laurent-de-l'Île-d'Orléans; Hybrid; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Data governance

Vault secrets management

MinIO storage

GitLab CI/CD workflows

Kubernetes admin

Helm deployments

NVIDIA GPU Operator

LDAP & SSO

Docker image security

Bash/Python scripting

RBAC security

Security tooling

Observability (Prometheus/Grafana)

High availability

Job summary

Randstad Canada seeks a Senior Azure DevOps / AI Platform DevOps Contractor to optimize Azure deployments and production-grade AI workflows. The role emphasizes GitLab CI/CD, Kubernetes/OpenShift, and strong Python scripting, with focus on secure, scalable, and observable platforms.

The candidate will collaborate across security, operations, and enterprise teams, delivering infrastructure as code, automated pipelines, and reliable services in a hybrid Ottawa environment.

Qualifications

• Proven experience deploying, managing, and optimizing applications and platforms in Microsoft Azure.
• Strong hands-on experience with Kubernetes, including cluster operations and platform best practices.
• Strong understanding of networking and security in cloud/containerized environments.
• Demonstrated success in designing GitLab CI/CD pipelines for enterprise-scale apps.
• Strong scripting and automation using Python; Bash is desirable.
• Experience integrating solutions with enterprise systems including identity and access management.
• Strong troubleshooting and proactive reliability mindset.
• Effective communication with technical and non-technical stakeholders.
• Desirable experience supporting AI/ML or Agentic AI workloads in production.

Responsibilities

• Implement and optimize DevOps practices within an Azure cloud environment with security, scalability, resilience, and reliability.
• Design, build, and maintain robust GitLab CI/CD pipelines to accelerate delivery and automation.
• Support deployment and operation of containerized workloads using Kubernetes and/or OpenShift.
• Contribute to AI/Agentic AI DevOps capabilities for secure, production-grade AI workloads.
• Drive infrastructure provisioning and deployment using Infrastructure as Code (IaC).
• Collaborate with development, security, and enterprise teams to troubleshoot live issues and implement improvements.
• Support release planning, deployment scheduling, and operational readiness for cloud-hosted apps.
• Provide guidance based on observability data and platform monitoring insights.
• Ensure solutions align with security, authentication, access control, and governance requirements.
• Stay current with DevOps, Azure, Kubernetes, and AI platform technologies and mentor peers.

Skills

Azure cloud

Kubernetes

GitLab CI/CD

Python scripting

Networking & security

AI/ML workloads

OpenShift

Scripting with Bash

RBAC & identity

Platform engineering

Tools

GitLab CI/CD

Kubernetes

OpenShift

Terraform/Terragrunt

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.

Advantages

• Experience implementing data governance and control frameworks.
• Experience using HashiCorp Vault for secrets management.
• Experience using and securing S3-compatible object storage, such as MinIO.
• Experience creating and optimizing production-grade GitLab 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 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.

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 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.

Summary

Role Overview: We are looking for a Senior Azure DevOps / AI Platform DevOp to join our DevOps 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 DevOps 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 the deployment lifecycle.
• Process Management: Experience implementing and managing comprehensive DevOps processes and best practices.

Location Ottawa

This role is Hybrid, 3 days in office, 2 days work from home.

Schedule: Core hours are 9:30am–3pm local time (somehow flexible) can start as early as 7:30

Clearance Requirement: Secret, CGP, or Trade clearance;

This position can be extended or become permanent