Mainframe Management and Capacity Planning Analyst

Overview

Develop and implement IBM z/OS systems infrastructure and platform performance and capacity strategies to support business growth. Work with middleware and data collection tools to optimize mainframe application performance, ensuring reliable, secure, and cost-effective computing and communications.

• Develop and implement z/OS infrastructure, performance, and capacity strategies.
• Ensure reliable and secure computing and communications capabilities to run business software.
• Perform capacity workload modeling and availability analysis.
• Build effective relationships with internal and external stakeholders.
• Identify and resolve mainframe application performance bottlenecks and issues.
• Collaborate with teams to improve application design and code for better performance.
• Provide input into planning and implementation of operational programs.
• Design system capacity (bandwidth, disk space, storage, CPU) for high availability and performance.
• Maintain and improve overall system performance, monitor production, and meet SLAs and quality metrics.
• Monitor and analyze performance metrics for mainframe applications and middleware.
• Generate performance reports using tools such as ITBI and Intelli Magic, and make data‑driven recommendations.
• Identify and define process or system improvement opportunities and recommend emerging technologies.
• Promote technical development, mentor employees, and build communities of practice across technology.
• Document performance issues and solutions for future reference.

• 4–6 years of IT industry experience, 1–3 years with application performance focus.
• Diploma or bachelor’s degree in computer science, IT, or related field.
• Experience with IBM z/OS, JCL, CICS, Db2, VSAM, MQ, Web Sphere, and z/OS Connect.
• Knowledge of mainframe tools and utilities, including RMFMON, Omegamon, Netview, zWIN, Dynatrace, IZPCA, Intelli Magic, ITBI.
• Working experience with MXG and SQL is a plus.
• Proficiency in application performance tuning and optimization.
• Strong analytical, problem‑solving, communication, collaboration, and influence skills.
• Ability to work independently and quickly learn new skills.
• Data‑driven decision‑making capability.

Salary range: $75,900.00 – $ (Salaried). Compensation will vary based on location, experience, education, and qualifications.