Transformation DevOps Engineer
Job in
Montreal, Montréal, Province de Québec, Canada
Listing for:
Cynet Systems
Full Time
position
Listed on 2026-02-17
Job specializations:
-
IT/Tech
Cloud Computing, Systems Engineer, IT Project Manager, Data Engineer
Job Description & How to Apply Below
Location: MontrealJob Description:The Transformation Dev Ops Engineer will design and implement modern CI/CD pipelines to support both data warehouse and .NET application stacks.This role focuses on automation, infrastructure alignment, pipeline optimization, and troubleshooting.The ideal candidate will bring strong Git Lab CI/CD expertise, automation scripting experience, and the ability to support enterprise-level transformation initiatives.Key Responsibilities:Pipeline Design And Implementation:
Design and implement end-to-end CI/CD pipelines using Git Lab for both data warehouse and .NET application environments.Ensure pipelines support multi-language and multi-platform architectures.Optimize build, test, and deployment workflows for efficiency and reliability.Infrastructure And Tooling:Collaborate with infrastructure teams to ensure environments support modern CI/CD processes.Configure and manage Git Lab Runners.Integrate additional Dev Ops tools required for automation and deployment.Support environment standardization and modernization initiatives.Troubleshooting And Support:Diagnose and resolve pipeline failures, deployment issues, and automation-related problems.Provide technical expertise to improve system reliability and deployment efficiency.Monitor CI/CD processes and recommend improvements.Documentation And Governance:Create and maintain detailed documentation for CI/CD pipelines, automation scripts, and deployment procedures.Establish best practices and standards for Dev Ops processes.Support knowledge sharing and mentoring within the team.Required Qualifications:Minimum 4 years of experience in Dev Ops or related software engineering roles.Strong hands-on expertise designing and building CI/CD pipelines using Git Lab.Experience working with complex, multi-language, multi-platform projects.Strong problem-solving and analytical skills.Excellent communication and interpersonal skills.Preferred
Skills:
Experience with Python or Perl for scripting and automation.Strong Shell scripting experience (Bash) in Linux/Unix environments.Experience leading or mentoring team members.Strategic mindset focused on automation and process improvement.
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