Mainframe Performance & Capacity Management Engineer

Performance Management and Capacity Planning: Monitor real-time z/OS system health and performance across CPU, memory, DASD, and WLM-managed workloads, using tools including RMF, SmartIS, MICS, and other internal tools. The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.

Mainframe Performance & Capacity Management Engineer
Job Description:

• The Mainframe performance and capacity management engineer will be responsible for real-time mainframe performance monitoring, anomaly detection, and incident prevention to support client’s mission-critical workloads.
• Candidates will use candidates' expertise in performance optimization, capacity planning, and data analysis to identify both performance and capacity exceptions, ensuring client’s mainframe infrastructure operates efficiently and effectively.
• Leverage advanced tools and your technical expertise to safeguard performance, optimize resources, and enable seamless operations across critical business workloads.
• Collaborate with infrastructure, DevOps, operations, and application teams to ensure optimal workload behavior, guide performance tuning, and surface insights that drive engineering and business decisions.

Responsibilities:
Performance Management and Capacity Planning:

• Monitor real-time z/OS system health and performance across CPU, memory, DASD, and WLM-managed workloads, using tools including RMF, SmartIS, 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 & capacity requirements.
• Support cost modeling, vendor reporting (SCRT), infrastructure sizing and resource optimization efforts.

Data Analysis:

• Collect and analyze system performance data to generate reports and dashboards.
• Identify key performance indicators (KPIs) and develop metrics to track system performance.
• Visualize, summarize and present data findings, recommendations, and methodology to senior leadership, department leadership and enterprise stakeholders (technical and non-technical stakeholders)

Collaboration and Communication:

• Work 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.
• Participate in migration of performance/capacity tooling to Git change management and DevOps deployment pipelines.

Experience:

• Bachelor’s degree in information systems, Mathematics, Finance or another quantitative or related subject
• 10 plus 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 via adjustments to WLM and batch initiators.
• Basic understanding of PR/SM.
• Proficiency in Job Control Language (JCL) & DB2
• Proficiency in REXX/Python (plus)
• 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 is a plus

Qualifications:

• Strong analytical, problem solving and strategic thinking skills including the ability to prioritize.
• Proficiency in data analysis and creation of dashboards and various visualizations that will provide actionable insights for operations, engineering and management decision making.
• Working knowledge of MS Office suite for management reporting using both PowerPoint and Excel analytical functions
• Comfortable taking information from disparate systems to bring data elements together for meaningful insights
• Analyze and solve business problems at their root, stepping back to understand 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/RMF data, WLM service definitions, and z/OS workload behavior.
• IBM SCRT Reporting (plus)
• MICS Product & Reporting experience (plus)
• Exhibit good time management skills, independent thinking and decision-making capabilities.
• High sense of urgency and ability to prioritize competing requirements in a fast-paced environment.

Pay Range: $60 - $80/hour on W2

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.

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please share me your updated resume on sid.miller@ptrglobal.com