Cloud Engineer ( Azure Platform Engineer)- Remote Ontario (Toronto)

Cloud Engineer ( Azure Platform Engineer)- Remote Ontario (Toronto)

16 Oct
|
Smile Digital Health
|
Toronto

16 Oct

Smile Digital Health

Toronto

Working for a company like Smile Digital Health means supporting our mandate for #BetterGlobalHealth . We strive towards this goal every day, and the results can be seen in the impact of our creative health data platform and data management solutions, which are used in over 20 countries.

Smile Digital

Health makes it easy for healthcare stakeholders to collect and exchange data with our leading FHIR-based data liberation platform. At its heart, the Smile platform enables people and organizations to better manage healthcare data. We help generate and liberate structured healthcare data to ensure effective delivery across care teams and health systems bringing #BetterGlobalHealth to patients everyday!

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.

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.

Support Azure

DevOps (or equivalent) CI/CD pipelines, including GitOps workflows (Flux/ArgoCD), to reduce deployment risk and improve release velocity. Collaborate with performance engineering and application teams to identify, diagnose, and resolve performance bottlenecks spanning the AKS platform and its dependent services (database, messaging, network) to right-size node pools and workloads based on observed performance and utilization trends. Contributing to Disaster Recovery and Business Continuity Planning (DR/BCP) procedures for AKS-hosted workloads, including cross-team failover drill participation and RTO/RPO validation. participate in on-call rotation, lead root-cause analysis, and drive preventative follow-up actions.

Strong knowledge of Kubernetes internals scheduling, networking, storage, RBAC. ~ Proficiency in Azure CNI networking and AKS private cluster configuration.



~ Hands-on experience integrating AKS with Azure PaaS services (ACR, AKV, Azure SQL, Kafka and Managed Identities) and troubleshooting network-layer dependencies (DNS, firewall, private endpoints). ~ Working knowledge of Azure DevOps or similar CI/CD tooling. ~ Grafana stack (Prometheus, Loki, Tempo) and Azure-native monitoring (Azure Monitor, Log Analytics, Application Insights); Scripting skills in Bash, Python. ~ Certified Kubernetes Administrator (CKA), Or CKAD certification and Microsoft Certified: able to convey technical issues clearly to both technical and non-technical stakeholders. $Smile discloses that artificial intelligence (AI) may be used in portions of the recruitment and selection process, such as resume screening or application assessment. All hiring decisions are ultimately made by qualified human decision-makers, and AI tools are used to support — not replace — fair and equitable hiring practices.

Remote Work

Environment Flexible Time Away From Work Policy including PTO, Personal and Sick Days Competitive Salary and Health/Medical Benefits Life and Disability Employee Assistance Program * Smile's core values include respect, inclusion, embracing our differences, and celebrating shared values because our people are the foundation of our success. We are dedicated to fostering a workplace that values diversity, equity, and inclusion. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.

If you would like more information about how your data is processed, please contact us.

📌 Cloud Engineer ( Azure Platform Engineer)- Remote Ontario (Toronto)
🏢 Smile Digital Health
📍 Toronto

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