Senior DevOps Engineer (GitHub, ADO)

Role: Senior DevOps Engineer (GitHub, ADO)

Location: Toronto, ON(Hybrid)

Mode: Full-time

Key Responsibilities

DevOps & CI/CD Engineering

• Design, implement, and maintain enterprise CI/CD pipelines using GitHub Actions and Azure DevOps.
• Automate application build, testing, deployment, and release management processes.
• Establish best practices for source code management, branching strategies, and release governance.
• Build reusable pipeline templates and deployment frameworks.
• Support continuous integration, continuous delivery, and continuous deployment initiatives.

GitHub & Azure DevOps Administration

• Administer GitHub Enterprise and Azure DevOps environments.
• Manage repositories, branch policies, pull requests, code reviews, and access controls.
• Implement repository governance, security scanning, and compliance best practices.
• Configure GitHub Actions workflows and Azure DevOps pipelines.
• Integrate GitHub and ADO with enterprise tools and cloud platforms.

Infrastructure Automation

• Develop Infrastructure as Code (IaC) solutions using:

• Terraform
• Azure Bicep
• ARM Templates
• CloudFormation
• Ansible

• Automate infrastructure provisioning and configuration management.
• Implement environment provisioning across Development, QA, UAT, and Production environments.

Cloud Platform Engineering

• Support cloud-native deployments across:

• Microsoft Azure
• Amazon Web Services (AWS)

• Design scalable, reliable, and secure cloud infrastructure.
• Implement containerized solutions and orchestration platforms.
• Optimize cloud resource usage and cost efficiency.

Containerization & Kubernetes

• Build and manage Docker-based container solutions.
• Deploy and support Kubernetes environments.
• Manage:

• Azure Kubernetes Service (AKS)
• Amazon Elastic Kubernetes Service (EKS)

• Develop Helm charts and deployment automation frameworks.

DevSecOps & Security

• Integrate security controls within CI/CD pipelines.
• Implement:

• SAST
• DAST
• Dependency Scanning
• Secret Management
• Vulnerability Assessments

• Establish secure-by-design deployment practices.
• Ensure compliance with enterprise security standards and governance requirements.

Monitoring & Reliability Engineering

• Implement observability and monitoring solutions.
• Configure logging, alerting, and performance monitoring.
• Support incident response and root cause analysis.
• Drive platform reliability, availability, and performance improvements.

Required Qualifications

Experience

• 8+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or Infrastructure Automation.
• Hands-on experience designing enterprise-scale CI/CD pipelines.
• Experience supporting highly available cloud-native environments.

Source Control & DevOps Platforms

• GitHub Enterprise
• GitHub Actions
• Azure DevOps (Repos, Pipelines, Boards, Artifacts)
• Git
• Azure DevOps Services

Infrastructure as Code

• Terraform
• Azure Bicep
• ARM Templates
• Ansible
• AWS CloudFormation

Cloud Platforms

Microsoft Azure

• Azure DevOps
• AKS
• Azure App Services
• Azure Functions
• Azure Monitor
• Key Vault
• Storage Services

Amazon Web Services (AWS)

• EC2
• EKS
• S3
• Lambda
• CloudWatch
• IAM
• VPC

Containers & Orchestration

• Docker
• Kubernetes
• Helm
• AKS
• EKS

Programming & Scripting

• Python
• PowerShell
• Bash/Shell Scripting
• YAML
• JSON

Monitoring & Logging

• Azure Monitor
• Application Insights
• Grafana
• Prometheus
• ELK Stack
• Splunk

Preferred Qualifications

• Microsoft Certified: DevOps Engineer Expert.
• GitHub Actions Certification.
• Azure Administrator Associate.
• AWS Certified DevOps Engineer.
• Kubernetes (CKA/CKAD) Certification.
• Terraform Associate Certification.

Desired Soft Skills

• Strong troubleshooting and problem-solving abilities.
• Excellent communication and stakeholder-management skills.
• Strong documentation and process governance capabilities.
• Ability to mentor junior engineers and lead DevOps initiatives.
• Experience working in Agile and Scrum environments.
• Strong collaboration with Development, QA, Security, and Operations teams.

Nice to Have

• Experience supporting AI/ML and MLOps platforms.
• Experience with Databricks, Snowflake, or Data Engineering platforms.
• Exposure to Generative AI, Agentic AI, and AI Foundry environments.
• FinOps and cloud cost-optimization experience.
• Experience in Insurance, Financial Services, or other regulated industries.

Key Deliverables

• Enterprise CI/CD Frameworks
• GitHub and Azure DevOps Governance Standards
• Infrastructure as Code Automation
• Kubernetes Deployment Platforms
• DevSecOps Pipelines
• Cloud Migration & Modernization Support
• Monitoring & Observability Frameworks