System Engineer - Virtualization
$239,200–$239,200 year
HybridToronto, Ontario, Canada
Job Summary
Design, build, and maintain technical solutions for distributed system platforms using Infrastructure as Code and automation tools. Monitor system performance, identify resource bottlenecks, and execute tuning in collaboration with cross-functional teams. Provide advanced 2nd and 3rd level systems support while managing rotational on-call duties and interfacing with external vendors. Author technical documentation, architecture standards, and procedural runbooks to empower the engineering team. Research and recommend emerging infrastructure technologies aligned with global objectives.
Required Qualifications
- Post-secondary degree or equivalent practical experience in Computer Science or Engineering
- 5+ years of progressive engineering experience specializing in virtualization technologies (e.g., VMware, Nutanix, Proxmox, Hyper-V, OpenShift Virt)
- Advanced expertise in containerization and virtualization platforms, specifically Red Hat OpenShift, including hands-on proficiency with CSI drivers (e.g., Portworx, Trident)
- Demonstrated configuration and management proficiency within Cisco UCS environments
- Proven experience driving platform modernization initiatives through Infrastructure as Code (IaC) utilizing Terraform and Ansible
- Deep enterprise-level technical knowledge of both Windows Server and Linux environments
- Practical, hands-on experience in Storage Area Network (SAN) technology configurations, specifically Pure Storage
- Familiarity with leveraging Generative AI utilities (e.g., Copilot, Claude) to scale engineering velocity and refine daily operational efficiency
- Exceptional analytical, collaborative problem-solving, and professional communication skills
- Hybrid (2-3 days in office) - based in Toronto, ON
- Must be authorized to work in the country where this position is located
Desired Qualifications
- Hands-on experience with VMware Site Recovery Manager
- Familiarity with modern data protection products (e.g., Cohesity)
- Practical experience working with log analytics platforms (e.g., Splunk)
- Exposure to public cloud infrastructure development, ideally AWS
- Professional experience with IT workflow automation engines (e.g., ServiceNow)
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