Job Title : Azure DevOps Engineer.( Hybrid).

Location : Hybrid (2 days onsite per week in Weehawken, NJ)

Job Type: Full time.

Description

Responsibilities:

Develop software solutions to support engineering delivery at scale, including build system automation and automated deployment.

Improve Agile posture by introducing continuous deployment practices.

Create and evolve CI/CD systems for cloud applications, from ideation to deployment.

Write Infrastructure as Code (IaC) using standard industry tools and services.

Use industry-standard deployment and configuration tools to automate application deployment.

Build and maintain continuous delivery pipelines to provision and operate client test and production environments.

Provide system support by responding to monitoring alerts.

Keep up-to-date with the latest Cloud and DevOps best practices and tools, and implement them accordingly.

Collaborate with developers to identify and automate necessary Azure resources.

Document automation processes.

Troubleshoot workstation issues such as proxy and McAfee.

Diagnose and resolve CI/CD infrastructure and process issues, such as disk space and network problems.

Provide support for setting up CI/CD pipelines in new projects.

Work closely with key stakeholders to gather, analyze, and determine DevOps requirements.

Requirements

Have a minimum of 7 years of hands-on experience with Azure DevOps.

Possess practical experience with continuous delivery and continuous integration of CI/CD pipelines.

Have experience with Azure Repos, including branching, code review, and code analysis tools.

Be proficient with Git, Gitlab Git Flow, and Azure DevOps.

Demonstrate strong, hands-on expertise in diverse DevSecOps concepts and tools, particularly Azure DevOps, Pipelines, GitHub, and GitHub actions.

Be able to assess requirements and suggest the appropriate tools and technologies based on the environment.

Possess hands-on experience with Kubernetes and containerization technologies like Docker and Azure Container Registry.

Have a good understanding of PowerShell scripting.

Be an expert in debugging and providing solutions and workarounds.

Have practical experience with REST APIs and consuming them from .Net Technologies and PowerShell.

Possess knowledge of Azure Databricks and its architecture/framework.

Have an understanding of Azure Machine Learning Service and its architecture/framework.

Possess knowledge of various monitoring and logging solutions available on the Cloud, preferably on Azure

• Be an expert on Azure Functions.

Have excellent communication, presentation, and coding abilities.

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