Senior Devops Engineer
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
We are looking for a Senior DevOps Engineer / Lead who is highly experienced in cloud and containerization technologies. The ideal candidate should be capable of providing technical direction to onshore/offshore teams while remaining hands-on with development and operations tasks. Exposure to AI-related tools or environments is a strong plus.
Key Responsibilities:
Design, implement, and manage scalable DevOps pipelines and infrastructure
Provide technical guidance and mentorship to DevOps teams (onshore/offshore)
Work closely with development, QA, and operations teams to streamline CI/CD processes
Maintain and optimize cloud environments and container orchestration platforms
Ensure system reliability, scalability, and security best practices
Stay hands-on with deployment, automation, and troubleshooting activities
Explore and integrate AI/ML tools or AI-driven DevOps practices where applicable
Required Skills:
Strong experience with Red Hat Linux
Hands-on expertise in Kubernetes
Solid experience in Cloud platforms (AWS / Azure / GCP)
Experience with CI/CD tools (Jenkins, GitLab CI, etc.)
Strong scripting skills (Python, Shell, or similar)
Experience with Infrastructure as Code (Terraform, Ansible, etc.)
Good understanding of monitoring and logging tools
Preferred Qualifications:
Prior experience in a lead or senior DevOps role
Exposure to AI/ML or AI-integrated DevOps practices
Ability to balance hands-on work with leadership responsibilities
Strong communication and stakeholder management skills
Education:
Bachelor’s degree/University degree or equivalent experience.
More about this job
Responsibilities
Design, implement, and manage scalable DevOps pipelines and infrastructure, while maintaining cloud environments and container orchestration platforms. Guide and mentor onshore and offshore teams, streamline CI/CD with partner teams, and ensure reliability, scalability, and security through hands-on deployment, automation, troubleshooting, and applicable AI/ML practices.
Requirements
Candidates should have strong Red Hat Linux and Kubernetes experience, cloud platform expertise, CI/CD experience, scripting skills, and familiarity with Infrastructure as Code, monitoring, and logging tools. Senior or lead experience, AI/ML exposure, and the ability to balance hands-on work with team leadership and stakeholder communication are preferred; a bachelor's degree or equivalent experience is listed.
Skills
- Red Hat Linux
- Kubernetes
- Cloud Platforms
- AWS
- Azure
- GCP
- CI/CD
- Jenkins
- GitLab CI
- Python
- Shell Scripting
- Terraform
- Ansible
- Monitoring
- Logging
- AI/ML
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Management & Leadership
Keywords
- DevOps
- Red Hat Linux
- Kubernetes
- Cloud Computing
- AWS
- Azure
- GCP
- CI/CD
- Jenkins
- GitLab CI
- Python
- Shell Scripting
- Infrastructure as Code
- Terraform
- Ansible
- Monitoring
- Logging
- Containerization
- Container Orchestration
- Cloud Infrastructure
- Automation
- Deployment
- Troubleshooting
- System Reliability
- Scalability
- Security Best Practices
- AI/ML
- Technical Leadership
- Mentorship
- Stakeholder Management