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IBM Infrastructure is a catalyst that makes the world work better because our clients demand it. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide. Your ability to be creative, a forward-thinker and to focus on innovation that matters, is all support by our growth minded culture as we continue to drive career development across our teams. Collaboration is key to IBM Infrastructure success, as we bring together different business units and teams that balance their priorities in a way that best serves our client's needs. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.
Job Responsibility:
Investigate client-reported issues and technical questions using tools such to read system logs, trace analysis, and system diagnostics
Collaborate with global teams and interface directly with clients to drive issues to resolution
Participate in off-shift and weekend duty rotations as needed to support clients operating in global time zones and to ensure timely resolution of high-impact issues
Contribute to product improvement by identifying design deficiencies, reporting product defects, and recommending enhancements that improve reliability and serviceability
Continuously develop technical expertise in your assigned specific area of Hardware Support Product offerings, staying current with new product releases, tools, and procedures to support evolving client needs
Requirements:
Bachelor’s degree in Computer Science, Computer Engineering, Engineering, Physics, Mathematics, or a related field
Strong analytical and problem-solving skills, with a passion for debugging and understanding how operating systems and software/hardware work at a low level
Experience with at least one programming language (e.g., C, C++, Python, or Java)
Excellent English communication skills (written and verbal)
Ability to work independently and collaboratively in high-pressure situations
Willingness to work across time zones and participate in global team collaboration
Nice to have:
Basic knowledge of Storage Area Networks and Fibre Channel Switches
Knowledge of networking fundamentals, including TCP/IP, DNS, NFS, SMB, and InfiniBand
Experience with z/OS or other mainframe environments
Basic Understanding of LLM Foundational models and generative AI
Experience with developing presentations and creating spreadsheets
Familiarity with operating system concepts (e.g., memory management, file systems, CPU architecture)
Familiarity with storage concepts, such as RAID, file systems, block vs. object storage, and data redundancy
Basic understanding of Linux/Unix systems, including command-line operations and file systems
Experience with reviewing software/hardware logs data (system dumps analysis, debugging, or low-level system troubleshooting)
Background in tutoring, teaching assistant roles, or mentoring
Demonstrated service mindset and ability to explain complex issues clearly
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