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Cloud Automation & DevOps Engineer

  • Toronto, ON, Canada

$45 to $50 CAD / hour · Contract

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Job details

Pay
$45 to $50 CAD / hour
Job type
Contract
Apply by
Experience
4+ years of relevant Cloud Automation / DevOps experience.
Posting language
English
Posted

Original job description

🎯 Interview: Face-to-Face Required

Job Description:

We are looking for an experienced Cloud Automation & DevOps Engineer to design, automate, and support enterprise container platforms and CI/CD pipelines. The ideal candidate will have strong hands-on experience with OpenShift, Kubernetes, GitOps, automation scripting, and cloud-native application deployment.

Key Responsibilities:

  • Design, develop, and maintain CI/CD pipelines and reusable automation workflows.
  • Deploy and support containerized applications using OpenShift, Kubernetes, Docker, and Podman.
  • Implement GitOps-based deployments using Argo CD, Flux, Helm, and Git.
  • Develop automation scripts using Python, Bash, and Ansible.
  • Create reusable CI/CD templates using GitHub Actions and GitLab CI.
  • Implement monitoring and observability using Prometheus, Grafana, OpenTelemetry, Elasticsearch, Kibana, and Jaeger.
  • Integrate CI/CD pipelines with HashiCorp Vault or other secrets-management solutions.
  • Troubleshoot production issues related to containers, deployments, infrastructure, and networking.
  • Support application migrations to OpenShift and improve platform reliability.
  • Implement code-quality and security checks using tools such as SonarQube.
  • Participate in incident management, root-cause analysis, and technical documentation.

Required Skills:

  • 4+ years of relevant Cloud Automation / DevOps experience.
  • Strong hands-on experience with OpenShift and Kubernetes.
  • Experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.
  • Knowledge of GitOps, Argo CD, Flux, Helm, and Git.
  • Strong Python and Bash scripting skills.
  • Experience with Linux environments and container technologies.
  • Experience with HashiCorp Vault or similar secrets-management tools.
  • Knowledge of monitoring and observability tools such as Prometheus and Grafana.
  • Experience supporting production environments and troubleshooting deployment issues.
  • Understanding of microservices and cloud-native architecture.

Nice to Have:

  • Experience with Ansible, StackStorm, Zabbix, AWS, GCP, VMware, OpenStack, or Rancher.
  • Familiarity with Active Directory, LDAP, databases, and SonarQube.
  • Exposure to Java, Node.js, C#, or C++.
More about this job

Responsibilities

Design and maintain CI/CD pipelines, reusable automation workflows, and GitOps-based deployments for containerized applications on OpenShift and Kubernetes. Develop automation scripts, implement monitoring and security checks, troubleshoot production issues, support platform migrations, and contribute to incident management and technical documentation.

Requirements

Requires at least four years of Cloud Automation or DevOps experience, strong hands-on skills with OpenShift and Kubernetes, and experience with CI/CD, GitOps, Python, Bash, Linux, containers, and secrets management. Candidates should also have production troubleshooting experience and understand microservices and cloud-native architecture; experience with the listed additional platforms and tools is an advantage.

Skills

  • OpenShift
  • Kubernetes
  • CI/CD
  • GitOps
  • Python
  • Bash
  • Ansible
  • GitHub Actions
  • GitLab CI
  • Jenkins
  • Docker
  • Podman
  • Argo CD
  • Flux
  • Helm
  • HashiCorp Vault

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Engineering

Keywords

  • Cloud Automation
  • DevOps
  • OpenShift
  • Kubernetes
  • CI/CD
  • GitOps
  • Argo CD
  • Flux
  • Helm
  • Git
  • Python
  • Bash
  • Ansible
  • GitHub Actions
  • GitLab CI
  • Jenkins
  • Docker
  • Podman
  • Prometheus
  • Grafana
  • OpenTelemetry
  • Elasticsearch
  • Kibana
  • Jaeger
  • HashiCorp Vault
  • SonarQube
  • Microservices
  • Cloud-Native Architecture
  • Production Troubleshooting
  • Incident Management

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