Mainframe Engineer/Performance and Capacity Management

• The Mainframe Performance and Capacity Engineer will be responsible for monitoring, analyzing, and optimizing z/OS system health and performance across large-scale environments.
• This includes capacity planning, performance tuning, cost modeling, and collaboration with cross-functional teams to ensure system stability, efficiency, and scalability.
• The role also involves data analysis, reporting, and providing actionable insights to leadership and stakeholders.

• Performance management and capacity planning include monitoring real-time z/OS system health and performance across CPU, memory, DASD, and WLM-managed workloads using RMF, SmartIS, IzPCA, MICS, and other internal tools.
• Analyze performance data to identify trends, bottlenecks, and potential issues.
• Detect, troubleshoot, and resolve resource anomalies, workload misbehaviors, and degradation risks in production systems.
• Partner with incident response teams to resolve performance issues quickly and accurately.
• Develop and implement performance tuning strategies by recommending changes to service definitions, dispatching priorities, and workload placement.
• Contribute to capacity planning by forecasting and modeling workload resource demand and capacity requirements.
• Support cost modeling, vendor reporting, infrastructure sizing, and resource optimization efforts.
• Data analysis responsibilities include collecting and analyzing system performance data to generate reports and dashboards, identifying key performance indicators (KPIs), and developing metrics to track system performance.
• Visualize, summarize, and present data findings, recommendations, and methodology to senior leadership, department leadership, and enterprise stakeholders.
• Collaboration and communication include working closely with cross-functional teams, including operations, development, and infrastructure teams.
• Provide technical support and guidance to team members and stakeholders.
• Participate in on-call rotations and provide timely responses to performance and observability issues.
• Contribute to the migration of performance and capacity tooling to Git change management and DevOps deployment pipelines.

• Bachelor's degree in information systems, mathematics, finance, or another quantitative or related subject.
• More than 10 years of mainframe systems experience with proficiency in performance management for large, multi-processor, multi-LPAR, Parallel Sysplex environments utilizing z/OS.
• Proven experience in mainframe performance monitoring, observability, capacity management, and data analysis.
• Proven experience resolving systems performance problems in real time through adjustments to WLM and batch initiators.
• Strong understanding of PR/SM.
• Proficiency in REXX, Python, Job Control Language (JCL), and DB2.
• Strong understanding of batch processing and job scheduling.
• Advanced user of MS Excel (charts, pivot tables, VLOOKUPs, PowerPivot) and PowerPoint for data visualization.
• Experience with mainframe monitoring tools and performance tuning techniques.
• Experience working with large, highly transactional datasets to draw insights and create organizational value.
• Experience with DevOps and ADABAS is a plus.

• Strong analytical, problem-solving, and strategic thinking skills, including the ability to prioritize.
• Proficiency in data analysis and dashboard creation to provide actionable insights for operations, engineering, and management.
• Working knowledge of the MS Office suite for management reporting using both PowerPoint and Excel.
• Ability to integrate data from disparate systems to generate meaningful insights.
• Ability to analyze and solve business problems at their root, while considering the broader context.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a team.
• Detail-oriented with strong organizational skills.
• Deep expertise with SMF and RMF data, WLM service definitions, and z/OS workload behavior.
• IBM ClientRT reporting experience is a plus.
• MICS product and reporting experience is a significant plus.
• iZPCA product experience is an advantage.
• Strong time management, independent thinking, and decision-making skills.
• High sense of urgency and ability to prioritize competing requirements in a fast-paced environment.

CYNET SYSTEMS