Smile Digital Health

Cloud Engineer Automation

Toronto, Canada full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

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!

Apply today and find plenty of reasons to SMILE!

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.

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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. 

\n$120,000 - $140,000 a year
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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.

Please mention the word **FEARLESS** and tag RMmEwMTo3ZTAxOjoyMDAwOmU1ZmY6ZmU4YjoxYTg= when applying to show you read the job post completely (#RMmEwMTo3ZTAxOjoyMDAwOmU1ZmY6ZmU4YjoxYTg=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Human Resources MySQL Operations Python Remote Collaboration Mid level

Likely questions

  1. Tell us about work you have done that is close to the Cloud Engineer Automation role.
  2. How would you approach your first 30 days at Smile Digital Health?
  3. Which of Human Resources, MySQL and Operations have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Human Resources, MySQL and Operations.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Cloud Engineer Automation role because I can bring practical experience in Human Resources, MySQL and Operations, learn the team quickly, and contribute to the outcomes Smile Digital Health needs from this hire.

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