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Caspian One Linkedin · Posted 8d ago

DevOps Engineer

Canada

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Indexed description

DevSecOps Engineer

Enterprise Engineering & AI Platform Programme | Top 5 Canadian

Investment Bank

(The team are working exclusively with Caspian One to build out this team)


Overview

Our client, is building a new Enterprise Engineering & AI Platform capability focused on enabling

the future adoption of AI, automation, Power Platform solutions, and cloud-native engineering

practices across the organisation. This team will create the engineering foundations, tooling,

governance, and delivery frameworks that will support enterprise-wide innovation initiatives.


As a DevSecOps Engineer, you will play a critical role in designing and maintaining the CI/CD

ecosystem that supports platform engineering, AI solutions, automation initiatives, and Power

Platform development. This is primarily a DevOps-focused position centred around deployment

automation, release governance, and engineering productivity.


Key Responsibilities

• Design, build, and maintain enterprise CI/CD pipelines.

• Develop deployment automation and release orchestration processes.

• Create and maintain GitHub Actions workflows.

• Implement security scanning, policy validation, and quality gates within deployment pipelines.

• Support source control, branching strategies, and release management processes.

• Monitor deployments and troubleshoot pipeline issues.

• Create operational runbooks and deployment documentation.

• Support broader DevSecOps governance and engineering best practices.


Required Skills & Experience

• Strong CI/CD pipeline development experience.

• GitHub Actions expertise.

• Shell scripting.

• Python development experience.

• DevOps automation and deployment engineering.

• Source control and release management experience.

• Experience working within enterprise or regulated environments.


Nice to Have

• Power Platform development experience.

• Copilot Studio exposure.

• Microsoft 365 ecosystem knowledge.

• Public cloud experience.

• Experience supporting AI-related workloads.

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