Working for a company like Smile Digital Health means supporting our mandate for #We strive towards this goal every day, and the results can be seen in the impact of our innovative health data platform and data management solutions, which are used in over 20 countries. We were #19 on Deloitte's Technology Fast 50 Ranking for 2024!

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 helpgenerate andliberate structured healthcare data to ensure effective delivery across care teams and health systems bringing #The Cloud Engineer (Automation) is responsible for designing, building, operating and improving production-grade automation for Smile Digital Health, its clients and partners.

This role will be responsible for the pipelines, infrastructure as code, environments and recovery procedures, that the platform runs on. This Engineer will merge direct platform engineering expertise with driving strategic changes in how the department designs, deploys, and maintains its infrastructure.

Key responsibilities include managing build and release engineering, orchestrating the Terraform and Helm infrastructure, provisioning on-demand environments, and implementing automated recovery. This role works closely with Platform Engineering, Solution Engineering, Service Operations and Engineering Practice & QA to remove unnecessary repetitive, manual work and effectively optimize a build from the time the client commits to a running environment faster, decrease platform costs, and utilize AI to enhance the platform’s engineering and operations. Own build and release engineering by reviewing the current repositories and CI setup, then consolidate duplicated Azure DevOps pipeline YAML onto shared reusable templates with change detection and automated quality gates.





Identify and eliminate manual efforts for cross-functional teams and replace them with scheduled, auditable automation. For example, automating patching, certificate and secret rotation, environment scaling, and recurring reports Implement GitOps-based continuous delivery - declarative, Git-driven deployments with automated reconciliation, drift detection and rollback. Automate line-of-business environments end to end, provisioned and torn down on demand across every Azure service and application involved.

Ensure

Helm and Terraform are easy to upgrade by charting reuse and configuration validation, versioned modules, and state boundaries that limit how far an upgrade reaches. Ensure that the Terraform configuration is regularly maintained. Automate the guardrails such as policy-as-code, security and IaC scanning in the pipeline, and alerts and dashboards defined as code.

Implement AI-assisted engineering in the platform team’s day-to-day work Contribute to the department’s AI enablement, package knowledge into reusable skills and runbooks in the shared skill library. Work with the development and operations teams to find automation gaps, prioritize them, and close them. Troubleshoot production and staging issues and document what you automate so others can operate it. 6+ years of hands-on cloud engineering, DevOps and/or platform engineering experience, including at least 1-2+ years with infrastructure as code and CI/CD automation on Microsoft Azure in production.

Post-secondary education in Computer Science, Engineering, or similar and/or equivalent work experience.



Practical in-depth knowledge and expertise in Terraform, Helm and Azure DevOps pipelines, and GitOps delivery (Argo CD or Flux). Demonstrated knowledge across Azure (AKS, Key Vault, Storage, Azure SQL, PostgreSQL, networking, identity) and observability as code (Azure Monitor and/or Grafana, Prometheus, OpenTelemetry).

Hands-on experience with agentic coding tools (Claude Code or equivalent), keeping confidential data out of them and reviewing what they produce. Hands-on experience running, hardening and right-sizing production workloads on Kubernetes Experience migrating between Kafka platforms (HDInsight, Confluent, MSK or self-managed) is a strong asset.

Strong

Python and Bash skills, able to build maintainable tooling, not glue scripts. A demonstrable record of replacing manual processes with automation. FinOps practice and Azure Cost Management, an asset. Regulated environment experience (healthcare, PHI), an asset.

Microsoft AZ-104, AZ-400, AZ-305; CKA or CKAD, an asset. Azure cost optimization, an asset. $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.

This position is a new role, created to support Smile’s continued growth and commitment to operational excellence.

Remote Work Setting 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.

📌 Cloud Engineer, Automation (Remote Ontario) (Winnipeg)
🏢 Smile Digital Health
📍 Winnipeg