Design and operate production AKS platforms using Kubernetes internals, Azure networking, security hardening, and reliability engineering expertise. This Azure Kubernetes Platform Engineer owns AKS environments end to end, from cluster architecture and CI/CD through observability and incident response. You will act as the Kubernetes subject-matter expert across deployments, troubleshooting, and production issues. The work includes private clusters, managed identities, RBAC, networking, scaling, upgrades, and lifecycle management. Collaboration spans application, security, platform, performance engineering, and application teams. Key Responsibilities:
Design and deploy private Azure Kubernetes Service clusters Manage scaling, upgrades, node pools, and capacity planning Configure Azure CNI, load balancers, and ingress controllers Maintain Docker, Helm, policy, and vulnerability management practices Lead observability, incident response, and root-cause follow-up Requirements:
Five or more years of hands-on Kubernetes experience Strong knowledge of scheduling, networking, storage, and RBAC Proficiency with Azure CNI and private AKS configuration Experience with Azure PaaS services and network dependencies Bash, Python, Helm, Terraform, and CI/CD knowledge Apply Kubernetes platform expertise across AKS architecture, operations, observability, security, and production reliability.
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Azure Kubernetes Platform Engineer in Winnipeg employer: Vision Talent Co.
Vision Talent is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Senior AI Engineer to thrive. Located in the heart of downtown Toronto, employees benefit from a vibrant work environment and the opportunity to engage with cutting-edge AI technologies while enjoying a competitive compensation package, including a 20% target bonus. With a strong emphasis on employee growth and continuous learning, Vision Talent empowers its team members to explore new tools and frameworks, ensuring they remain at the forefront of the rapidly evolving AI landscape.
