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Insight Global Technologies
DevOps Platform Engineer
Insight Global Technologies
Anywhere•Remote•7-10 Yrs•Jul 6
Job description
Remote
Overview
• 7+ years of experience in Platform Engineering, DevOps, or SRE roles
Responsibilities
- Insight Global is hiring a
- Lead Platform Engineer to join the Enterprise Platform Engineering team for a leading Vancouver-based retailer. This role is a hands-on technical leadership position focused on designing, operating, and evolving GitLab SaaS, Terraform Cloud, and CI/CD automation at enterprise scale. You will collaborate with platform, security, and product teams to deliver scalable, resilient DevOps solutions, while driving the adoption of AI-assisted workflows across the software development lifecycle.
- Own and manage GitLab SaaS and Terraform Cloud platforms, ensuring scalability, reliability, and alignment with security and SSDLC standards - Build and maintain CI/CD pipelines, runners, templates, and shared components
- Develop and promote Infrastructure-as-Code (IaC), including reusable modules, guardrails, and policy-as-code
- Design and operate GitOps workflows and automate provisioning, access management, and lifecycle processes - Integrate AI-assisted capabilities into CI/CD, code review, incident response, and operational workflows, ensuring responsible and governed use
- Maintain platform reliability through observability, metrics, and on-call support
- Analyze platform performance, identify improvement opportunities, and provide insights to inform roadmap decisions
- Create documentation, runbooks, and reference architectures to support best practices and self-service adoption
- Drive enablement through templates, automation, and participation in communities of practice (demos, office hours, etc.)
Qualifications
- 7+ years of experience in Platform Engineering, DevOps, or SRE roles
- Deep hands-on expertise with GitLab (SaaS/Managed) and Terraform (Cloud/Enterprise)
- Strong experience with Infrastructure as Code (IaC), AWS, Kubernetes, and
- Practical experience leveraging AI-assisted tools within engineering workflows
- Proven ability to own and operate production platforms end-to-end, including governance, access control, architecture, and scalability (beyond CI/CD pipeline management)