Azure Devops Engineer

Technology Stack:

Azure Cloud, Azure DevOps, YAML pipelines, Bicep, GIT, Docker, PowerShell, Kubernetes, Terraform, Helm Charts, Shell Scripting, PrometheGrafana, Traefik, Arm Template

Responsibilities:

• Manage a group of highly motivated DevOps engineers and systems administrators.
• Participate in the agile ceremonies and interface with the agile team(s) and other program staff as required.
• Work with application teams to help them adapt continuous build, inspection, testing and deployment.
• Participate in all aspects of DevOps Engineering and promote industry standard methodologies in DevOps Engineering.
• Help to configure DevOps stack with regards to performance monitoring, analytics, and auditability.
• Design and build a new code non-production/production pipeline.
• Developing Idealized automated CI/CD processes and working with teams to implement those processes in DevOps technology stack.
• Provide deployment and off hours support.
• Analyze existing standards to identify gaps and remedies. Evaluate gaps related to DevOps best practices.
• Develop and maintain installation, configuration, and operations procedures.
• Develop Junit tests to support code coverage as part of the CI / CD pipeline.
• Share best practices with a focus on re-use of application code.
• Work with the Development, project/product management organizations to align projects, releases, patches, and other efforts.
• Implement automation tools and frameworks (CI/CD pipelines).

Requirements:

• Hands-on experience in Azure DevOps
• Experience automating and orchestrating workloads for large-scale enterprise applications using Kubernetes.
• Experience in CI/CD YAML pipelines
• Hands-on experience with cloud solutions at massive scale and resiliency.
• Experience with Test Driven Development a plus.
• Deploy updates and fixes.
• Experience with SQL/NoSQl Databases a plus;
• Good knowledge of Ruby or Python;
• Deep knowledge & Understanding of (including configuring and adopting) build tools;
• Knowledgeable with Scaled Agile Framework (SAFe) practices and tools;
• Write scripts and automation using Python/Bash;
• Clearly demonstrate, hands on experience with shell scripting, Python, Groovy, etc;
• BS Degree in computer science; MS Degree is preferred;
• Develop scripts to automate visualization.