Cloud Engineer, Automation; Remote Ontario

Own the automation and infrastructure that supports production cloud environments for a healthcare data platform. You’ll improve how software is built, deployed, scaled, and recovered, working across platform, engineering, and operations teams to reduce manual work and make service delivery more reliable and efficient.

• Consolidate build and release pipelines into reusable templates with automated checks and quality gates.
• Build scheduled, auditable automation for recurring operational work such as patching, secret rotation, scaling, and reporting.
• Implement Git Ops delivery with drift detection, reconciliation, and rollback, and provision application environments on demand.
• Automate backups, restore procedures, failover, and recurring disaster recovery exercises, tracking recovery objectives.
• Maintain and improve Terraform modules, Helm charts, Kubernetes services, and build agent images.
• Add security, policy, observability, and cost controls to infrastructure workflows; document tools and runbooks for colleagues.

• At least six years in cloud, Dev Ops, or platform engineering, including production infrastructure-as-code and CI/CD work on Azure.
• Strong Terraform skills, including module design, provider and state management, and refactoring; practical Helm and Kubernetes or AKS experience.
• Experience with Azure Dev Ops pipelines and Git Ops tools such as Argo CD or Flux.
• Working knowledge of Azure services including identity, networking, storage, databases, and Key Vault, plus monitoring as code.
• Experience automating backup, restore, and failover with defined recovery time and recovery point objectives.
• Strong Python and Bash skills, production workload hardening, and experience using AI coding tools responsibly, including reviewing generated work and protecting confidential data.

• Kafka operations or platform migration experience, Fin Ops and Azure cost management, or work in regulated healthcare environments.
• Relevant Terraform, Azure, or Kubernetes certifications.

• Remote work, flexible paid time away, health and medical coverage, retirement contribution options, life and disability coverage, and an employee assistance program.
• Learning resources include healthcare data standards study and professional development offerings.