DevOps Engineer
10 hours ago
Toronto, Ontario, Canada
Capgemini
Full-time
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Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Description
Role OverviewWe are seeking a Cloud Automation & DevOps Engineer to design, automate, and support enterprise container platforms and CI/CD capabilities. The successful candidate will work with development, infrastructure, security, and operations teams to standardize software delivery, improve platform reliability, automate operational activities, and support cloud-native applications.
The role requires strong hands-on experience with OpenShift, Kubernetes, GitOps, CI/CD automation, observability, secrets management, Linux, and scripting. The selected candidate will also support production troubleshooting, platform migrations, and reusable engineering solutions.
Key Responsibilities
Design, build, and maintain CI/CD pipelines and reusable automation workflows.
Deploy and support containerized applications on OpenShift and Kubernetes.
Develop reusable GitHub Actions and GitLab CI templates to standardize application delivery.
Implement GitOps-based deployments using tools such as Argo CD, Flux, and Helm.
Automate infrastructure and operational activities using Python, Bash, Ansible, and similar tools.
Integrate applications and delivery pipelines with enterprise secrets-management platforms.
Build and support observability capabilities across logs, metrics, and distributed traces.
Develop automated platform validation, monitoring, and remediation solutions.
Support the migration of applications and microservices from legacy container or virtualization platforms to OpenShift.
Troubleshoot CI/CD, container, infrastructure, networking, and production runtime issues.
Implement code-quality and security controls within delivery pipelines.
Participate in incident response, root-cause analysis, and continuous service improvement.
Create technical documentation, operating procedures, and reusable platform standards.
Collaborate with application teams to improve developer experience and release reliability.
Required SkillsStrong experience with OpenShift, Kubernetes, Docker, or Podman.
Hands-on experience with GitHub Actions, GitLab CI, or comparable CI/CD platforms.
Experience with Argo CD, Helm, Git, and GitOps delivery practices.
Strong scripting and automation skills using Python and Bash.
Experience working in Linux-based enterprise environments.
Experience integrating HashiCorp Vault or a comparable secrets-management solution.
Experience with observability tools such as Prometheus, Grafana, OpenTelemetry, Elasticsearch, Kibana, or Jaeger.
Understanding of microservices, container networking, and cloud-native application architecture.
Experience supporting production systems and resolving platform or deployment incidents.
Knowledge of code-quality tools such as SonarQube.
Preferred SkillsExperience with Ansible, StackStorm, Zabbix, or automated remediation.
Exposure to AWS, GCP, OpenStack, VMware, or Rancher.
Familiarity with Active Directory and LDAP integrations.
Experience with PostgreSQL, MySQL, DB2, or MongoDB.
Programming exposure to Java, Node.js, C#, or C++.
EducationDiploma or degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent practical experience.
The base compensation range for this role in the posted location is: 70000 to 90000Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.
S. and Canada, available benefits are determined by local policy and eligibility and may include:Paid time off based on employee grade (A-F), defined by po
Job Description
Role OverviewWe are seeking a Cloud Automation & DevOps Engineer to design, automate, and support enterprise container platforms and CI/CD capabilities. The successful candidate will work with development, infrastructure, security, and operations teams to standardize software delivery, improve platform reliability, automate operational activities, and support cloud-native applications.
The role requires strong hands-on experience with OpenShift, Kubernetes, GitOps, CI/CD automation, observability, secrets management, Linux, and scripting. The selected candidate will also support production troubleshooting, platform migrations, and reusable engineering solutions.
Key Responsibilities
Design, build, and maintain CI/CD pipelines and reusable automation workflows.
Deploy and support containerized applications on OpenShift and Kubernetes.
Develop reusable GitHub Actions and GitLab CI templates to standardize application delivery.
Implement GitOps-based deployments using tools such as Argo CD, Flux, and Helm.
Automate infrastructure and operational activities using Python, Bash, Ansible, and similar tools.
Integrate applications and delivery pipelines with enterprise secrets-management platforms.
Build and support observability capabilities across logs, metrics, and distributed traces.
Develop automated platform validation, monitoring, and remediation solutions.
Support the migration of applications and microservices from legacy container or virtualization platforms to OpenShift.
Troubleshoot CI/CD, container, infrastructure, networking, and production runtime issues.
Implement code-quality and security controls within delivery pipelines.
Participate in incident response, root-cause analysis, and continuous service improvement.
Create technical documentation, operating procedures, and reusable platform standards.
Collaborate with application teams to improve developer experience and release reliability.
Required SkillsStrong experience with OpenShift, Kubernetes, Docker, or Podman.
Hands-on experience with GitHub Actions, GitLab CI, or comparable CI/CD platforms.
Experience with Argo CD, Helm, Git, and GitOps delivery practices.
Strong scripting and automation skills using Python and Bash.
Experience working in Linux-based enterprise environments.
Experience integrating HashiCorp Vault or a comparable secrets-management solution.
Experience with observability tools such as Prometheus, Grafana, OpenTelemetry, Elasticsearch, Kibana, or Jaeger.
Understanding of microservices, container networking, and cloud-native application architecture.
Experience supporting production systems and resolving platform or deployment incidents.
Knowledge of code-quality tools such as SonarQube.
Preferred SkillsExperience with Ansible, StackStorm, Zabbix, or automated remediation.
Exposure to AWS, GCP, OpenStack, VMware, or Rancher.
Familiarity with Active Directory and LDAP integrations.
Experience with PostgreSQL, MySQL, DB2, or MongoDB.
Programming exposure to Java, Node.js, C#, or C++.
EducationDiploma or degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent practical experience.
The base compensation range for this role in the posted location is: 70000 to 90000Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.
S. and Canada, available benefits are determined by local policy and eligibility and may include:Paid time off based on employee grade (A-F), defined by po