Cloud Engineer ( Azure Platform Engineer)- Remote Ontario

The Azure Platform Engineer is responsible for designing, deploying, and operating production-grade Azure Kubernetes Service (AKS) clusters, with a strong focus on cluster internals, networking, security hardening, and reliability.

This role owns the platform end-to-end from cluster architecture and CI/CD through to performance tuning, observability, and incident response for critical systems.

Acting as the SME for Kubernetes deployments, blockers, and production issues.

The successful candidate works closely with application, security, and platform teams to keep AKS environments reliable, observable, and production-ready.

• Act as the subject-matter expert (SME) for Kubernetes deployments, troubleshooting, and production issues across all environments.
• Design and deploy Azure Kubernetes Service (AKS) clusters with private cluster configurations, managed identities, and RBAC.
• Own the health, scaling, and lifecycle management of production AKS clusters, including upgrades, node pool management, autoscaling, and capacity planning.
• Configure AKS networking, including Azure CNI, internal load balancers, and ingress controllers (NGINX, Traefik).
• Design and maintain integrations between AKS with Azure Container Registry (ACR), Key Vault via CSI driver, Azure Monitor for containers, Azure SQL, Kafka/Event Hubs, Azure Storage, and other client-facing dependencies (DNS resolution, firewall rules, private endpoints, and service connectivity).
• Manage containerized application deployments using Docker and Helm; maintain reusable chart and templating standards, namespaces, resource quotas, and Azure Policy for AKS.
• Harden AKS environments through policy enforcement, network policies, and image scanning.
• Own container and cluster vulnerability management: scanning, triage, prioritization, and remediation coordination with engineering teams.
• Contribute to Terraform-based infrastructure as code for provisioning and managing Azure resources.
• Support Azure DevOps (or equivalent) CI/CD pipelines, including GitOps workflows (Flux/ArgoCD), to reduce deployment risk and improve release velocity.
• Design, implement, and manage observability across the Grafana stack (Prometheus, Loki, Tempo) and Azure-native tooling (Azure Monitor, Log Analytics Workspace, Application Insights) for critical systems; define SLIs/SLOs and tune alerting to reduce noise.