Senior Cloud DevOps Engineer

Charger Logistics Inc; Brampton; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive Salary

Healthcare Benefit Package

Career Growth

Job summary

Charger Logistics Inc. is a world-class asset-based carrier with locations across North America.

The Senior Cloud DevOps Engineer will design and implement enterprise-scale cloud infrastructure, drive automation strategies, and mentor engineering teams across Azure and GCP environments. Responsibilities include establishing cloud governance, leading migration and multi-region designs, building Kubernetes platforms (AKS, GKE), and implementing CI/CD pipelines with Jenkins, Azure DevOps, and

Qualifications

• 5+ years enterprise cloud experience (Azure/GCP).
• Kubernetes and container platforms experience.
• CI/CD pipelines and automation experience.
• Security and governance awareness.
• Leadership of engineering teams.

Responsibilities

• Design enterprise cloud architecture standards across Azure and GCP.
• Lead cloud migration strategies and multi-region design.
• Establish governance, cost optimization, and security controls.
• Architect AKS/GKE with enterprise security and networking.
• Build self-service platforms and observability tooling.
• Design scalable CI/CD pipelines with Jenkins, Azure DevOps, GitHub Actions.
• Mentor engineers and drive DevOps culture.

Skills

Azure

GCP

Kubernetes

CI/CD tooling

Cloud security

Leadership

Tools

Terraform

Jenkins

Azure DevOps

GitHub Actions

Prometheus

PowerShell/Bash

AKS/GKE

Job description

Charger Logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger Logistics has transformed into a world-class transport provider and continues to grow.

Charger Logistics invests time and support into its employees to provide them with the room to learn and grow their expertise and work their way up. We are entrepreneurial-minded organization that welcomes and support individual ideas and strategies.

The Senior Cloud DevOps Engineer will design and implement enterprise-scale cloud infrastructure, drive automation strategies, and mentor engineering teams while architecting mission-critical systems across Azure and GCP environments.

Responsibilities:

Cloud Architecture & Infrastructure

• Design enterprise cloud architecture standards across Azure and GCP.


• Lead cloud migration strategies and multi-region infrastructure design.


• Establish cloud governance, cost optimization, and security frameworks.

Container & Platform Engineering

• Architect Kubernetes platforms (AKS, GKE) with enterprise security and networking.


• Implement service mesh solutions and advanced deployment strategies.


• Build developer self-service platforms and observability solutions.

CI/CD & Automation

• Design scalable pipelines using Jenkins, Azure DevOps, GitHub Actions.


• Implement GitOps frameworks and infrastructure-as-code practices.


• Integrate security scanning, testing automation, and compliance workflows.

Security & Compliance

• Implement Zero Trust architectures and identity management solutions.


• Automate compliance for SOC 2, ISO 27001 frameworks.


• Drive security-by-design practices across all platforms.

Leadership & Mentorship

• Lead technical teams and drive DevOps culture transformation.


• Mentor senior engineers and establish centers of excellence.


• Oversee architecture reviews and technology roadmaps.

Technical Skills

• 5+ years enterprise experience with Azure and GCP.


• 4+ years production Kubernetes experience (AKS/GKE).


• Expert-level CI/CD tools (Jenkins, Azure DevOps) and IaC (Terraform).


• Strong Python programming with PowerShell/Bash experience.


• Deep security and compliance knowledge.

Leadership & Certifications

• 6+ years leading technical teams and enterprise initiatives.


• Required: Azure Solutions Architect Expert or GCP Professional Cloud Architect.


• Preferred: Kubernetes certifications (CKA/CKAD).

Preferred Qualifications

• AI/ML platforms experience, advanced monitoring tools (Prometheus).


• Transportation/logistics industry background.


• Open-source contributions and thought leadership experience.

• Competitive Salary


• Healthcare Benefit Package


• Career Growth