Mainframe Performance Engineer

Mainframe Infrastructure Performance & Capacity Planning Engineer

Location:

• Monitor and analyze real-time

  z/OS system health and performance

  across CPU, memory, DASD, and WLM-managed workloads using tools such as

  RMF, SMF, IzPCA, SmartIS, and MICS

  .
• Detect, troubleshoot, and resolve

  resource anomalies, workload degradation, and system bottlenecks

  .
• Drive

  performance tuning initiatives

  by adjusting WLM service definitions, dispatching priorities, and workload placements.
• Contribute to

  capacity planning

  forecasting and modeling workload resource demands and optimizing infrastructure utilization.
• Support

  cost modeling, vendor reporting (SCRT)

  , and infrastructure sizing.
• Analyze and visualize performance data to create dashboards, KPIs, and executive summaries using

  Excel (Pivot Tables, PowerPivot, VLOOKUPs)

  and

  PowerPoint

  .
• Collaborate with

  infrastructure, DevOps, and operations teams

  to ensure optimal workload performance and provide technical insights.
• Participate in

  on-call rotations

  and contribute to the migration of performance/capacity tools to

  Git/DevOps pipelines

  .

Required Skills & Experience

• 10+ years

  of total mainframe systems experience, with

  6+ years

  focused on performance engineering and capacity planning.
• Proven expertise in

  mainframe performance monitoring, observability, and tuning

  in large multi-LPAR, multi-processor

  Parallel Sysplex

  environments.
• Strong hands-on experience with

  WLM (Workload Manager)

  ,

  SMF/RMF data

  , and

  z/OS performance tools

  .
• Proficiency in

  COBOL, JCL, and DB2

  (for understanding workloads, not development).
• Strong knowledge of

  batch processing and job scheduling

  .
• Excellent data analysis and visualization skills using

  MS Excel

  and

  PowerPoint

  .
• Strong communication and presentation skills to engage global teams and leadership.

Good-to-Have Skills

• Python

  scripting for automation or data analysis.

• REXX

  and/or

  Java

  experience on mainframe.
• Exposure to

  DevOps pipelines

  or Git-based deployment.
• Experience with

  iZPCA

  ,

  MICS

  ,

  ADABAS

  , or

  IBM SCRT

  reporting tools.
• Prior experience in

  retail, telecom, or healthcare

  domains (BFSI not mandatory).

Educational Background

• Bachelor's degree in

  Information Systems, Mathematics, Finance, or other quantitative disciplines

  .

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