Job Description :
Azure DevOps Engineer
Location: Downtown, Toronto
Long Term
SCOPE

Azure DevOps Engineer Senior to build and automate the Azure infrastructure that enables developers to deploy applications to multiple environments. The ideal candidate will have experience with Azure, and can direct improvements to build and release scripts, tools, and processes. Required Skills & Experience with Azure infrastructure, CloudFormation scripts, Docker containers Experience deploying CI/CD, Experience Knowledge of Azure Security, encryption, security groups. This individual will consult and work closely with the Enterprise Architectural Group and project delivery teams to assist with automation and deployments.
DUTIES & RESPOSIBILITIES
Design cloud infrastructure that is secure, scalable, and highly available on Azure
Work collaboratively with software engineering to define infrastructure and deployment requirements
Provision, configure and maintain Azure cloud infrastructure defined as code
Ensure configuration and compliance with configuration management tools
Troubleshoot problems across a wide array of services and functional areas
Build and maintain operational tools for deployment, monitoring, and analysis of Azure infrastructure and systems
Perform infrastructure cost analysis and optimization
MUST HAVE SKILLS
At least 6-8 years of experience building and maintaining Azure Native services such as (VMs, Container instances, VNet, DNS, Blob storage)
Hands-on experience deploying and managing infrastructure with CloudFormation, Terraform.
Experience with source code management tools such as Bitbucket, GitHub.
Experience in using and configuring build tools and orchestration such as Jenkins, Maven, Gradle, Artifactory.
Experienced with either modern programming languages e.g., Java, Python and /or similar languages.
Working knowledge of SQL and other Databases.
Working experience with Azure API management.
Working experience with Serverless technology such as Azure functions
A strong DevOps background with a security and automation mindset.
             

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