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The role involves working as an Azure DevOps Engineer with responsibilities in automation, using tools like Azure DevOps, Kubernetes, Terraform, and Git for infrastructure deployment. The job requires strong technical expertise in DevOps frameworks, System Administration in Linux, and management of CI/CD pipelines. The candidate should also have a client-facing mindset and be capable of leading small to medium-sized teams.
Job Responsibility:
Perform client-facing technical consultancy roles
Contribute to knowledge base
Work in Team Lead role for small-medium sized teams
Implement monitoring and logging solutions for cloud environments including containerized environments
Requirements:
Automation-first mindset and hands-on in primary knowledge domain
Deep understanding of DevOps framework, tools and metrics for build, test and deployment automation – Configuration Management, scalable mode of infrastructure deployment and best practices
Able to assess the existing maturity of client in Cloud and DevOps space, perform gap analysis and provide baseline solution
Hands-on with language like Unix Shell-scripting or Power Shell
Hands-On experience on CI/CD pipeline and Proficient with tools like GitLab’s, GIT, Azure DevOps etc.
Hands-On experience with automation tools on the configuration management tool like Ansible/Puppet/
Hands-On experience with containerized deployment and orchestration using AKS (Azure Kubernetes Service)
Hands-On experience with infrastructure as a code tool like Terraform, CloudFormation or ARM Template etc.
Previous Application Development (Java/.Net) and System Administration experience in Linux
Strong experience with project management methodologies and frameworks (Waterfall, Scrum, Kanban)
Able to perform client-facing technical consultancy roles, contribute to knowledge base, work in Team Lead role for small-medium sized teams, etc
Experience in implementing monitoring and logging solutions for any cloud environments, including ones in a containerized environment
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