Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Cloud Engineer, Automation (Remote Ontario) role.

Rezi rewrites your resume against Smile Digital Health's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Cloud Engineer, Automation (Remote Ontario) posting at Smile Digital Health — free, in seconds.

About the Role

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 focus on the pipelines, infrastructure as code, environments, and recovery procedures that the platform runs on. The Engineer will merge platform engineering expertise with driving strategic changes in how the department designs, deploys, and maintains its infrastructure. This role works closely with Platform Engineering, Solution Engineering, Service Operations, and Engineering Practice & QA to remove manual work, optimize builds, decrease platform costs, and utilize AI to enhance engineering and operations.

Responsibilities

Own build and release engineering by reviewing 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, such as automating patching, certificate and secret rotation, environment scaling, and recurring reports.
Implement GitOps-based continuous delivery with declarative, Git-driven deployments, 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 upgrade scope.
Run in-cluster platform services deployed through Helm, harden workloads for availability and capacity, including health probes, replica counts, and right-sized requests, limits, and autoscaling.
Ensure Terraform configuration is regularly maintained.
Build and maintain Build Agent images for streamlining tooling available for builds.
Automate 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, packaging knowledge into reusable skills and runbooks in the shared skill library.
Work with development and operations teams to find automation gaps, prioritize them, and close them.
Troubleshoot production and staging issues and document automated processes for operational clarity.

Requirements

6+ years of hands-on cloud engineering, DevOps, and/or platform engineering experience.
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 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 their output.
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.
Strong Python and Bash skills, able to build maintainable tooling.
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.
Experience migrating between Kafka platforms (HDInsight, Confluent, MSK or self-managed) is a strong asset.

Skills

Terraform
Helm
Azure DevOps pipelines
GitOps
Kubernetes
AKS
Azure
Observability as code
Python
Bash
Kafka operations
Agentic coding tools

Location

Remote

Work Type

Remote Work Environment

Experience Level

6+ years of hands-on cloud engineering, DevOps and/or platform engineering experience
1-2+ years with infrastructure as code and CI/CD automation on Microsoft Azure in production

Education Level

Post-secondary education in Computer Science, Engineering, or similar
Equivalent work experience

Salary/Compensations

$120,000 - $140,000 a year

Benefits

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

About the Company

Smile Digital Health supports the mandate for #BetterGlobalHealth through its innovative health data platform and data management solutions, used in over 20 countries.
The company was #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 its leading FHIR-based data liberation platform.
The Smile platform enables people and organizations to better manage healthcare data, generating and liberating structured healthcare data for effective delivery across care teams and health systems.
Smile's core values include respect, inclusion, embracing differences, and celebrating shared values.
The company is dedicated to fostering a workplace that values diversity, equity, and inclusion.
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 fair and equitable hiring practices.

Equal Opportunity

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.