At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
IBM is seeking to hire a Technical Support Professional Intern currently pursuing a degree with a track record of success in one of the following fields: Information Technology, Engineering, Computer Science, Information Systems, Computer Electronics, Telecommunications, Network Administration.
This is a client facing role that requires a candidate that will provide high quality remote technical software, hardware, and problem management support to IBM's clients with the guidance of IBM Subject Matter Experts (SME). The candidate must have Problem Determination/Problem Source Identification (PD/PSI) experience. The candidate will communicate action plans to the Client or IBM representative as appropriate.
The intern will also work on various projects that are strategic to IBM including Artificial Intelligence (Watson), Cognitive Support Platform (IBM's CRM),TCP/IP Networking and other Technical Support processes.
The candidate must have strong intrapersonal skills that enhance collaboration and relationship building while also managing dynamic workloads in an agile environment. Strong written and verbal communication skills is a must.
• Basic knowledge in Operating system administration (Windows, Linux)
• Basic knowledge in database administration (DB2, Oracle, MS SQL)
• Basic knowledge in Java programming.
• English: Fluent in speaking and writing
• Analytical thinking, structured problem-solving techniques
• Strong positive customer service attitude with sensitivity to client satisfaction.
• Must be a self-starter, quick learner, and enjoy working in a challenging, fast paced environment.
• Strong analytical and troubleshooting skills, including problem recreation, analyzing logs and traces, debugging complex issues to determine a course of action and recommend solutions.
• Basic knowledge of process/data mining
• Basic knowledge of LDAP
• Basic knowledge of AI technologies
• Basic knowledge of IBM's Digital Business Automation Product Family
• Knowledge with Apache Flink and Kafka
• Knowledge with Elastic Search
• Knowledge with Kibana
• Knowledge with Containerization and Kubernetes
• Knowledge with OpenShift
• Knowledge with scripting (including Python, JavaScript)
• Knowledge with products of IBM's Digital Business Automation Product Family
• Knowledge with Process/Data Mining
• Knowledge with Containerization
• Knowledge with Apache Flink and Kafka
• Knowledge with Kubernetes
• Knowledge with Kibana
• Knowledge with Elastic Search
• Knowledge with AI technologies