DevOps Manager

Centrilogic · Ontario, Canada
LinkedIn

Posted

Aug 14, 2026 (Aug 14)

Seniority

Lead

Work Model

Not Specified

Type

Not Specified

Category

DevOps & SRE

Salary

Not specified

Skills

Agile Azure CI/CD GitHub GitHub Actions Kubernetes Observability OpenAI SRE Terraform

Description

DevOps Manager | AI, Azure & Microsoft Copilot Experienced DevOps leader with expertise in designing and managing cloud-native platforms on Microsoft Azur e, driving DevSecOp s, automation, and enterprise-scale infrastructure modernization. Proven ability to lead engineering teams, implement CI/CD pipelines, implement Infrastructure as Code (Terraform/Bicep), Kubernetes, and cloud management and governance frameworks. Strong background in AI-enabled devops and operation s using tools like Azure AI Services, Azure OpenAI, Copilot Studio, Microsoft 365 Copilot. Experience leading AI-driven automation initiatives that improve devops productivity, operational efficiency, and customer outcomes. Experienced partnering with application development, security, and business teams to integrate AI capabilities into the software delivery pipeline as well as IT operations. Ability to work with client stakeholders to understand requirements and capabilities and to design and propose practical solutions to their DevOps challenges using AI assistive tooling where applicable. Willingness to mentor and assist team members to increase their skills and expertise in cloud and devops related technologies and future vision . Key Skills Microsoft Azure (IaaS, PaaS, AKS, Azure Landing Zones) DevOps & DevSecOps Strategy CI/CD (Azure DevOps, GitHub Actions) Infrastructure as Code (Terraform, Bicep) Azure OpenAI & Azure AI Services Microsoft 365 Copilot & Copilot Studio Kubernetes & Container Platforms Cloud Security & Governance SRE, Monitoring & Observability Team Leadership & Agile Delivery Automation, AIOps & Platform Engineering Ideal Candidate Background 10+ years in DevOps/Cloud Engineering with 4+ years in management or team leadership. Deep Azure architecture and operational experience. Experience implementing AI solutions in enterprise environments using tools like Microsoft CoPilot and Claude Code. Strong stakeholder management and cross-functional leadership skills. Experience driving cloud transformation and platform modernization initiatives.