Mainframe Infrastructure Performance and Capacity Planning Engineer

Profile Description

Were seeking someone to join our team “Mainframe Infrastructure Performance and Capacity Planning Engineer” responsible for real-time mainframe performance monitoring, anomaly detection, and incident prevention to support our mission-critical workloads. You will use your expertise in performance optimization, capacity planning, and data analysis to identify both performance and capacity exceptions, ensuring our mainframe infrastructure operates efficiently and effectively. You will 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.

Mainframe Computing (MC)

Mainframe Computing Provides mainframe computing systems that offer the highest level of resiliency, security, data reliability, and operational risk reduction for financial transactional processing delivered via innovative operational practices and modern technical solutions.

What you’ll do in the role:

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, IzPCA, MICS, and other internal tools. Analyze performance data to identify trends, bottlenecks, and potential issues.
• Detect, troubleshoot, and resolve resource anomalies, workload misbehaviours, 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 analyse 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

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What you’ll bring to the role:

• At least 6+ years' relevant experience would generally be expected to find the skills required for this role.
• 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 via adjustments to WLM and batch initiators.
• Proficiency in Cobol, Job Control Language (JCL) & 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.
• Python experience is a huge plus
• REXX and/or Java experience on the mainframe is a plus.
• Experience with DevOps is a plus
• Experience working with ADABAS is a plus
• Bachelor’s degree in information systems, Mathematics, Finance or another quantitative or related subject

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 behaviour.
• IBM SCRT Reporting (plus)
• MICS Product & Reporting experience (plus)
• iZPCA Product experience (huge 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.