Cloud DevOps Engineer – Health

Linuxassociation; Vancouver; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

HealthAlquemy Search & Consulting in Vancouver, BC seeks a Cloud DevOps Engineer to provision and maintain Azure infrastructure and support Kubernetes-based workloads. You will build CI/CD pipelines, manage container images, and implement GitOps deployment workflows in a fast-paced health tech environment.

The role requires hands-on Azure/Kubernetes experience, Terraform, Helm, and Argo CD, plus strong collaboration with developers and data engineers.

Qualifications

• Hands-on experience with Azure cloud platforms and AKS.
• Proficient in Terraform for infrastructure provisioning.
• Experience with Helm charts and Argo CD for GitOps.

Responsibilities

• Provision and maintain Azure infrastructure via Terraform.
• Deploy and manage applications on Kubernetes with Helm and Argo CD.
• Build and maintain CI/CD pipelines to ensure reliable releases.
• Monitor health and troubleshoot incidents; manage secrets and security.

Skills

Cloud/Azure expertise

CI/CD implementation

Problem solving

Communication

Tools

AKS

Terraform

Helm

Argo CD

GitHub Actions

Docker

Job description

# Cloud DevOps Engineer – HealthAlquemy Search & Consulting · Vancouver, British Columbia, CABack to resultsCloud DevOps Engineer – HealthAlquemy Search & ConsultingVancouver, British Columbia, CA Posted October 8, 2026 Via LinkedIn### Full Job DescriptionLocation: Vancouver, BCContract: 12 monthsSchedule: 40 hours/week, 5 days onsiteStart Date: ASAPWe are seeking a Cloud DevOps Engineer to join the Health Team. This role will focus on provisioning and maintaining Azure infrastructure, supporting Kubernetes-based applications, and building reliable CI/CD and GitOps deployment processes.What You’ll Do• Provision and maintain Azure infrastructure using Terraform, including compute, networking, storage, and services supporting application and data workloads.• Manage and fine-tune Azure infrastructure to improve reliability, performance, resource utilization, and cost efficiency.• Deploy, configure, and maintain applications on Kubernetes using Helm and Argo CD.• Create and maintain Helm charts, Kubernetes manifests, and GitOps deployment configurations across environments.• Troubleshoot deployment failures and application issues involving pods, services, ingress, configuration, resource limits, and connectivity.• Work closely with developers and data engineers to support releases and troubleshoot application and data engineering workloads, including ETL pipelines.• Build and maintain container images and manage their publication to container registries.• Create and maintain CI/CD pipelines to make application releases reliable and repeatable.• Monitor application and infrastructure health, investigate alerts, and resolve operational issues.• Follow established security practices for access, secrets, and infrastructure and deployment changes.• Maintain clear runbooks and operational documentation.What You’ll Bring• Experience in DevOps or cloud operations.• Hands-on experience with Azure Kubernetes Service (AKS) or another managed Kubernetes platform such as EKS/GKE, or self-hosted Kubernetes.• Hands-on experience deploying and troubleshooting applications on Kubernetes.• Experience using Helm to configure and deploy applications, including maintaining charts and environment-specific values.• Hands-on experience using Terraform to provision and maintain cloud infrastructure, including reusable configuration, state management, and reviewing and applying infrastructure changes.• Hands-on experience managing Azure compute, networking, storage, access, and monitoring.• Hands-on Linux administration and network troubleshooting skills.• Experience with Git and at least one CI/CD platform, such as GitHub Actions.• Ability to correlate logs, metrics, and events to diagnose and resolve issues.• Clear communication, ownership of assigned work, and effective collaboration with other engineers.Nice to Have• Experience supporting data platforms, data pipelines, or Azure services used for data processing and storage.• Experience supporting AI/ML pipelines.• Familiarity with relational and NoSQL databases.• Experience with Kubernetes monitoring tools such as Prometheus and Grafana.