Platform Developer

Internal Job Title: Platform Developer

Posting Title: Platform Developer (DevOps, Kubernetes & GitOps)

Job Type: Permanent, Full-Time

Location: 18 Auriga Drive, Ottawa ON

Work Model: Hybrid

Job Status: Existing Vacancy

Position Summary

We are seeking a Platform Engineer to design, implement, automate, secure, and support our cloud-first platform and software delivery ecosystem. The successful candidate will be responsible for CI/CD automation, container platform development, environment and application deployment, observability, and reliability.

While our primary cloud platform is Microsoft Azure, the ideal candidate will be comfortable implementing reusable platform capabilities that can support deployment across multiple environments, including Azure Kubernetes Service (AKS), Red Hat OpenShift, and other major cloud providers such as AWS when business requirements dictate.

The Platform Engineer will work closely with Architects, Software Engineers, Security teams, Product teams, and Delivery teams to build scalable, secure, and reusable platform capabilities that support multiple client deployments while maintaining governance, reliability, and developer productivity.

Key Responsibilities

CI/CD & Automation

• Design and maintain reusable GitHub Actions workflows and GitOps .
• Automate build, test, security scanning, artifact publishing, deployment, and release processes.
• Implement consistent deployment patterns across Azure, OpenShift, and other supported environments.
• Support artifact repositories, container registries, and application promotion between environments.
• Improve deployment reliability through building reliability into the process and implementing governance controls.

Kubernetes & Container Platform Engineering

• Help design and deploy container platforms including:
  • Azure Kubernetes Service (AKS)
  • Red Hat OpenShift
  • Other Kubernetes distributions
• Develop and maintain GitOps deployment patterns using ArgoCD and Helm.
• Support Kubernetes networking, ingress, security, secrets management, storage, observability, and platform operations.
• Define reusable deployment and operational standards that work consistently across managed cloud Kubernetes and on-premises OpenShift environments.
• Troubleshoot and optimize containerized workloads across cloud and hybrid infrastructure.

Quality and Security

• Collaborate with cross-functional teams to improve input quality and content security through automation insights (i.e., Snyk and JFROG Xray).

Hybrid Cloud & Platform Strategy

• Contribute to platforms that include:
  • Hybrid cloud environments
  • On-premises OpenShift clusters
  • Multi-cloud requirements when needed
• Help establish deployment standards that minimize platform-specific dependencies where business requirements permit.
• Evaluate cloud-native and platform-native services while balancing portability, operational complexity, and total cost of ownership.

Technical Environment

• Cloud: Azure, AWS
• On-prem: Red Hat OpenShift
• Methodologies: DevSecOps, GitOps
• Containerization/Orchestration: Docker, Kubernetes, Helm, Terraform
• Tools: Development pipeline (GitHub Actions, Artifactory, ArgoCD)
• Quality and Security: Static code analysis (Snyk, SonarQube), vulnerability management (JFrog Xray)
• Monitoring and Observability: Telemetry and visualization (Prometheus, Grafana) and application performance (Open Telemetry, Azure Container Insights)
• Version Control: Git

Mandatory Requirements

• Legally eligible to work in Canada
• Fluency in English (speak, read, write)
• Ability to obtain (in a timely manner) and maintain Government of Canada Secret (Level II) security clearance
• Ability to travel approx. 1-2 weeks/year (on average)

Minimum Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering or a related field, or an equivalent combination of lesser education and additional relevant work experience
• 4+ years of applicable IT experience
  • 3+ years of experience in a DevOps or related position
  • 2+ years of experience in a software development or Azure automation position
• Specific knowledge and experience:
  • GitHub, GitHub Actions, repository governance and deployment automation (strong knowledge and experience)
  • Kubernetes, Azure Kubernetes Service (AKS), Helm, Docker and Argo CD (strong knowledge and experience)
  • One or more of Azure, AWS, hybrid cloud architectures or Red Hat OpenShift (working knowledge)
  • Automated testing (working knowledge)

Preferred Qualifications

• DevOps Engineer Expert (AZ-400), Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD), or Red Hat Certified Specialist in OpenShift Administration (EX280)
• 7 years of applicable IT experience
  • 5+ years of experience in a DevOps, platform engineering or related position
  • 3+ years of experience running production workloads on Kubernetes with GitOps (Argo CD and Helm)
• Specific knowledge and experience:
  • Terraform and JFrog Artifactory
  • Snyk, SonarQube and JFrog Xray
  • Prometheus, Grafana, OpenTelemetry and Azure Container Insights
  • On-premises Red Hat OpenShift and multi-cloud deployments

Equal Opportunity Statement

Our organization is committed to employment equity and diversity in the workplace. We actively encourage applications from women, Indigenous Peoples, persons with disabilities, members of visible minorities, and LGBTQ2+ individuals.

We are dedicated to removing barriers and fostering an inclusive workplace that reflects society and we are committed to providing an accessible and inclusive recruitment process in accordance with the Accessibility for Ontarians with Disabilities Act (AODA).

AI Use in Recruitment Statement

As part of our commitment to transparency and fairness in hiring, we disclose that artificial intelligence (AI) tools may be used at certain stages of our recruitment process. These tools assist in tasks such as resume screening, candidate matching, and interview scheduling. All AI-assisted decisions are subject to human oversight to ensure fairness, accuracy, and compliance with applicable laws.

We are committed to the responsible, transparent, and accountable use of AI, in alignment with Ontario’s Responsible Use of Artificial Intelligence Directive and the requirements under the Working for Workers Four Act. This includes taking steps to mitigate bias, protect candidate privacy, and ensure that AI does not unfairly influence hiring outcomes.