Responsible for end-to-end performance engineering, capacity planning, and system tuning across large-scale IBM z/OS Parallel Sysplex environments. This role requires strong expertise in SMF-based analysis, WLM policy behavior, infrastructure measurement, and subsystem performance tuning.
Positions: 02
Responsibilities:
- Perform end-to-end performance engineering across z/OS environments.
- Conduct system capacity planning and performance tuning.
- Analyze SMF and RMF data to evaluate system performance.
- Develop and maintain performance reports using MXG, SAS, and Splunk.
- Monitor daily system health and identify areas for improvement.
- Provide recommendations to enhance system performance.
- Troubleshoot and resolve system performance issues.
- Analyze coupling facility performance and LPAR configurations.
- Participate in a 24x7 on-call rotation to support performance issues.
- Design and document technical solutions for complex system environments.
- Develop proof-of-concepts (POCs) for new performance tools and technologies.
- Use AI tools to improve operational productivity and analysis.
Required Skills:
- Robust knowledge of SMF and RMF record structures.
- Experience with SAS programming and statistical data analysis.
- Knowledge of large-scale system operations and infrastructure.
- Proficiency with TSO and ISPF.
- Understanding of z/OS operations and JCL job stream modifications.
- Ability to troubleshoot complex system incidents.
- Experience working across multiple platforms including z/OS and zLinux.
Qualifications:
- Undergraduate degree or equivalent professional experience.
- Senior-level experience in mainframe performance engineering.
- Strong analytical and problem-solving skills.
- Ability to document performance analysis and system recommendations.
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.