Vishwa Prasad

Azure DevOps Engineer

SLK Software Pvt limited

04.2019 - Current

Working as Azure DevOps Engineer by creating and managing CICD Pipelines and hosting applications on various platforms like Windows, Linux, Containers, Azure services.
Automated multiple application deployments using Azure CICD and
Working on application deployments using Docker and kubernetes
Administering Azure kubernetes infrastructure and managing containers
Worked on continuous integration tool Jenkins to Create CICD Pipelines and integrated with other Source code repositories.
Onboarded CICD deployment model for various applications (.net, Java) to achieve Automation in deployments.
Hosted and managed many other applications on Multiple Platforms like Windows IIS, Apache Tomcat, cloud Platforms like Azure Web App, Azure Containers.
Worked on a project in Automating the deployment model from on premises to Azure CICD pipelines.
Continuous integrations and monitoring support were provided on Azure CICD and involved in troubleshooting for any issues.
Collaborated with multiple Teams in onboarding on premises application into Azure CICD pipeline for deployments.
Working on Azure Boards for tracking Work items.
Involved in Automation by scheduling Automatic Deployments using Windows PowerShell and batch Scripting.
Migrated multiple applications from Windows Server 2008 to 2012, 2016 & Upgraded various Windows server OS like 2008, 2012 & 2016.
Working on net sparker tool for scanning and fixing the web application vulnerabilities like weak ciphers, http, https, application security headers, application code review.
Performing and will be Involving in various Disaster recovery exercises.
Worked on Datacenter optimization project by migrating virtual machines from on premise datacenter to private cloud.
Working on Ipswich MOVE IT Automation tool by creating interfaces to integrate File transfers.
Working on PowerShell scripting to automate various manual tasks like Creation of multiple virtual machines, Server maintenance activities, to increase efficiency in identifying Serve performance issues and few more.