We are looking for an Experienced " System Engineer " , Please find details below
Build and Release source code to production environments
Create and modify build jobs on Jenkins and MS Build
Work with the CI/CD pipeline to configure build jobs, version source code in Nexus and implement new plugins
Work through tickets in SNOW and VSTS (TFS 2015 on Azure)
Creation and Upgrades of DNA environments.
Build installation and installer testing.
Reviewing different installation document for final signoff as per installation process.
Trouble shooting and resolving environment issues which involves issues in Database, DNA, peripheral devices (Printer, scanners), networking, servers used in testing.
Tracking, troubleshooting and reporting the build issues.
Responsible for creating and managing templates/configurationin skytap cloud environment.
Deployment and management of DNA in Citrix environment.
Administration and management of all QA servers.
Tracking and Maintenance and utilization of QA Servers.
Configuration and integration third party applications for DNA.
Installation of other products and features like CCM, CMC, Tmagic, shared teller etc.
Technical Leadership and Engineering-Specific Experience and Skills:3+ years implementation experience on a wide variety of ALM tools and best practices, including the ability to provide experience and support for the following platforms: o SCM/Build & Release Tools: Git, Jenkins, Maven, Nexus, MS Build, Chef o Work Management Tools: TFS 2013, VSTS, Sonar, CodedUI, SNOW Systems administration skills in UNIX/Linux, Windows Server on 32-bit and 64-bit platforms Strong hands-on implementation of SCM standards and best practices with strong team collaboration Java or Linux/Unix scripting Good verbal and technical writing skills to effectively communicate concepts and processes across technical staff and to our partners Must be self-motivated and a self-starter, able to work independently on a project from start to finish with little supervision and deliver finished product within projected times efficiently and with shifting priorities