The Internship will be for 8-14 weeks, approximately 40 hours per week. Application Management Intern Role Overview: Intern will be responsible for: Application Deployment Support: Assisting in the planning and execution of new application rollouts or updates to existing applications. This may involve coordinating with various teams to ensure a smooth transition. Performance Monitoring: Helping to monitor the performance of applications by tracking metrics such as uptime, response time, and user satisfaction. This can include identifying areas for improvement and reporting findings to senior team members. Issue Resolution: Assisting in troubleshooting and resolving issues that arise with applications. This might involve working closely with technical support teams and developers to diagnose problems and implement solutions. Documentation: Creating and maintaining documentation related to application management processes, including deployment procedures, troubleshooting guides, and user manuals. Collaboration with Stakeholders: Working with various stakeholders, including business leaders, IT teams, and end-users, to gather feedback and ensure that application functionality aligns with business objectives. Data Analysis: Analyzing data related to application usage and performance to provide insights and recommendations for improvements. Project Management Support: Supporting project management activities related to application development and deployment, including tracking project timelines and milestones. Learning and Development: Continuously learning about new technologies and best practices in application management to contribute effectively to the team. Use of Gen AI : How AI can be used in Application Management Applications will be business and engineering applications ( examples : Mentor EDA, Siemens PLM, QAD, Dellboomi, PowerApps, PowerBI) Degree’s preferred, academic year, any GPA requirement, coursework or other required knowledge, skills, and abilities. Completed at least three years of four year Degree in Computer Science with a GPA of 3.5+, or a student doing Masters in Computer Science or a related field. Programming skills. Analytical skills Good written and oral communication Team player |