Job Summary
We are seeking a Senior Cloud/DevOps Platform Engineer to join our Global Cloud & Platform COE and help build, automate, and operate enterprise-scale cloud platforms that support critical engineering and AI initiatives across the organization.
As part of a globally distributed team, you will drive cloud modernization, Kubernetes platform engineering, infrastructure automation, CI/CD, and observability. The ideal candidate brings deep expertise in Azure, AKS, Terraform, Datadog, and DevOps practices, with exposure to Azure AI Foundry, Azure OpenAI, or AI/ML platform deployments considered a significant advantage.
What you will do
•Design, implement, and support secure, scalable, and highly available platforms on Microsoft Azure.
•Build and manage enterprise-grade Azure Kubernetes Service (AKS) environments.
•Develop Infrastructure as Code solutions using Terraform.
•Design and maintain Azure DevOps YAML-based CI/CD pipelines.
•Implement monitoring, logging, and observability using Datadog.
•Automate infrastructure provisioning, deployments, and operational processes.
•Partner with development, security, and architecture teams to improve platform reliability and developer productivity.
•Support AI platform initiatives, including infrastructure and deployment patterns for Azure AI Foundry and Azure OpenAI services.
•Perform production support, troubleshooting, root cause analysis, and continuous improvement activities.
What we expect of you
•Bachelor's degree and 7+ years of experience in Cloud Engineering, Platform Engineering, DevOps, or Site Reliability Engineering, OR 11+ years of total IT experience, to include 7+ years of experience in Cloud Engineering, Platform Engineering, DevOps, or Site Reliability Engineering.
•Strong hands-on experience with Microsoft Azure.
•Deep expertise with Azure Kubernetes Service (AKS).
•Strong experience with Terraform and Infrastructure as Code.
•Experience building and supporting Azure DevOps CI/CD pipelines.
•Hands-on experience with Datadog monitoring and observability.
•Experience with Docker, Kubernetes, and cloud-native architectures.
•Strong scripting skills using PowerShell, Python, or Bash.
•Experience supporting enterprise production environments.
•Experience with Azure AI Foundry, Azure OpenAI, or AI/ML platform engineering, a plus.
•Experience deploying, securing, and monitoring AI services in Azure environments, a plus.
•Familiarity with AI application deployment patterns, prompt engineering workflows, model lifecycle management, or MLOps concepts, a plus.
•Experience with GitOps tools such as ArgoCD or Flux, a plus.
•Azure Certifications (AZ-104, AZ-305, AZ-400), a plus.
•Kubernetes Certifications (CKA/CKAD), a plus.
Compensation
At CDW, we strive to offer market-competitive total rewards packages to attract and retain talent. As such, we are committed to pay transparency and ensuring fair compensation for all our coworkers. Each of our roles is assigned a salary range that is informed by multiple sources of market data. We determine individual pay within a given range based on a candidate's prior experience, knowledge, skills and abilities. This approach allows us to offer competitive and equitable salaries that reflect the value and responsibilities of each role at CDW. Salaries are based on a 40-hour workweek, and paid on a bi-weekly payroll schedule.
Pay range: $125,000-173,000 CAD depending on experience and skill set
About Us
CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what's possible through technology. As a full-stack, full-lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes.
