Cloud Engineer, Automation (Remote Ontario)

smiledigitalhealth; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote work

Flexible paid time away

Health and medical coverage

Retirement contribution options

Life and disability coverage

Employee assistance program

Learning resources

Job summary

smiledigitalhealth is seeking a Senior DevOps/Platform Engineer to own automation and infrastructure for production cloud environments in a healthcare data platform. You’ll improve how software is built, deployed, scaled, and recovered, collaborating across platform, engineering, and operations teams to reduce manual work and increase reliability.

Responsibilities include consolidating pipelines into templates, automating patching and rotation, implementing GitOps with Argo CD or Flux, and

Qualifications

• At least six years in cloud, DevOps, 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 DevOps pipelines and GitOps 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.

Responsibilities

• 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 GitOps 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.

Skills

Cloud engineering

CI/CD pipelines

Python scripting

Bash scripting

Infrastructure as code

GitOps

Observability

Tools

Terraform

Helm

Kubernetes

AKS

Azure DevOps

Argo CD

Flux

Job description

Role overview

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.

Responsibilities

• 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 GitOps 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.

Requirements

• At least six years in cloud, DevOps, 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 DevOps pipelines and GitOps 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.

Nice to have

• Kafka operations or platform migration experience, FinOps and Azure cost management, or work in regulated healthcare environments.


• Relevant Terraform, Azure, or Kubernetes certifications.

Benefits and work setup

• 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.