Cloud Engineer Automation

Smile Digital Health; United States; Remote; USD 120,000 - 140,000; Full time

Benefits offered by this job

Remote Work Environment

Flexible Time Away From Work

Competitive Salary and Health/Medical

RRSP/TFSA/401K Employee Contribution

Life and Disability

Job summary

Smile Digital Health seeks a Cloud Engineer (Automation) to design, build, operate, and improve production-grade automation for the Smile platform. You will own pipelines, infrastructure as code, and recovery procedures to ensure reliable, scalable deployments across Azure.

You will collaborate with Platform Engineering, Solution Engineering, Service Operations and QA to remove repetitive work, optimize builds, and apply AI-assisted tooling to accelerate delivery and reduce costs.

Qualifications

• 6+ years of hands-on cloud engineering/DevOps experience with Azure in production.
• Post-secondary education in Computer Science, Engineering, or equivalent.
• Strong Terraform, Helm and Azure DevOps pipelines experience.
• GitOps delivery experience (Argo CD or Flux).
• Kubernetes experience and AKS familiarity.
• Knowledge of Azure services (AKS, Key Vault, Storage, Azure SQL, PostgreSQL) and observability tooling.

Responsibilities

• Own build and release engineering; consolidate pipelines into reusable templates.
• Automate patching, certificate/secret rotation, environment scaling, and reporting.
• Implement GitOps-based CD with declarative deployments and drift detection.
• Automate end-to-end environments across Azure services and apps.
• Automate disaster recovery and backup validation with tested DR drills.
• Maintain Helm/Terraform configurations and upgrade paths.

Skills

Cloud engineering

DevOps

CI/CD

Python

Education

Bachelors in CS/Engineering

Tools

Terraform

Helm

Azure DevOps

Kubernetes

Job description

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 helpgenerate andliberate 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.

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

$120,000 - $140,000 a year

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.

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.