Cloud Engineer ,Automation- Remote Ontario

Smile Digital Health; Toronto; À distance; CAD 110 000 - 150 000; Plein temps

Avantages offerts par ce poste

Remote Work Environment

Flexible Time Away From Work Policy

Competitive Salary and Health/Medical

RRSP/TFSA/401K Employee Contribution

Life and Disability

FHIR Study Program and Skillsoft

Super HAPI Fun Club

Résumé du poste

Smile Digital Health in Toronto is seeking a seasoned Cloud Engineer (Automation) to design, build, and operate production-grade automation across Azure. You will own build and release pipelines, manage IaC, and drive AI-enabled engineering initiatives to reduce manual work and cut costs.

You will collaborate with Platform, Solution, and Service Operations teams to implement GitOps, automate environments, and ensure disaster recovery readiness while maintaining security and cost controls.

Qualifications

• 6+ years of hands-on cloud engineering and DevOps experience, incl. 1–2+ years with IaC/CI/CD on Azure in production.
• Post-secondary education in Computer Science, Engineering, or equivalent work experience.
• Strong Terraform, Helm, Azure DevOps pipelines, and GitOps delivery experience.
• Expertise with Kubernetes and AKS, plus Azure services (Key Vault, Storage, Azure SQL, PostgreSQL).
• Proficient in Python and Bash, building maintainable tooling.
• Experience with FinOps and healthcare/regulatory environments an asset.
• Certifications: Terraform Associate; AZ-104, AZ-400, AZ-305; CK A/CKAD an asset.

Responsabilités

• Own build and release engineering by reviewing repositories and CI, consolidating pipelines with reusable templates.
• Automate patching, certificate/secret rotation, environment scaling, and recurring reports.
• Implement GitOps-based continuous delivery with automated reconciliation, drift detection and rollback.
• Automate end-to-end environments across every Azure service and application.
• Automate business continuity and disaster recovery with backup validation, restore and DR drills.
• Ensure Terraform configurations are maintained and upgrade-ready.
• Develop/maintain Build Agent images and guardrails like policy-as-code and security scanning.
• Apply AI-assisted engineering in daily workflows and share knowledge in the skill library.
• Collaborate with development and operations teams to close automation gaps and document solutions.

Connaissances

Terraform

Helm

Azure DevOps

GitOps

Kubernetes

AKS

Python

Bash

OpenTelemetry

Azure Monitor

Grafana

Prometheus

Automation

Formation

Post-secondary in CS/Engineering

Outils

Argo CD

Flux

Terraform modules

Helm charts

AKS

Azure DevOps pipelines

OpenTelemetry tooling

Description du poste

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 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 help generate and liberate structured healthcare data to ensure effective delivery across care teams and health systems bringing #BetterGlobalHealth to patients everyday!

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.

Responsibilities:

• 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.
• Automate business continuity and disaster recovery through backup validation, restore and failover, recurring DR drills, and measured RTO and RPO.
• 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.
• Run in-cluster platform services deployed through Helm, harden workloads for availability and capacity: health probes, replica counts, and right-sized requests, limits and autoscaling.
• Ensure that the Terraform configuration is regularly maintained.
• Build and maintain Build Agent images for streamlining tooling available for the builds.
• 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.

Requirements:

• 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).
• Strong Terraform skills including, but not limited to, experience with module design, provider version management, state management and refactoring.
• Expertise in Helm chart authoring and refactoring, including recent experience with Kubernetes and AKS.
• 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 automating backup, restore and failover with measured RTO and RPO.
• 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
• Hands‑on Kafka operations: topic and partition design, consumer group sizing, and throughput and latency trade‑offs. 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.
• Certifications: HashiCorp Terraform Associate; Microsoft AZ-104, AZ-400, AZ-305; CKA or CKAD, an asset.
• Observability as code with Azure Monitor, Grafana, Prometheus, or OpenTelemetry; 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.

Some of the benefits we offer:

• Remote Work Environment
• Flexible Time Away From Work Policy including PTO, Personal and Sick Days
• Competitive Salary and Health/Medical Benefits
• RRSP/TFSA/401K Employee Contribution
• Life and Disability
• Employee Assistance Program
• FHIR Study Program and Skillsoft Learning
• Super HAPI Fun Club

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 big on creating a sense of belonging and empowering each other to bring our authentic selves to work. We are dedicated to fostering a workplace that values diversity, equity, and inclusion.

We welcome and encourage candidates of all backgrounds to apply. Candidates are encouraged to inform us if they wish to discuss or require accommodations during interviews or while working at Smile.

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. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.