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# Mainframe Performance SME

- **Company:** McGregor Boyall Associates Ltd.
- **Location:** London, United Kingdom
- **Experience:** Expert
- **Salary:** £234,000 - £286,000
- **Contract:** Temporary contract
- **Skills:** Batch Processing, Customer Information Control System (CICS), IBM DB2, IBM Mainframe, Mainframes, Performance Tuning, Data Driven Tests, Z/OS, Datadog, Transport Layer Security, Database Performance, Omegamon, Dynatrace
- **Published:** November 3, 2026
- **Apply:** https://www.reed.co.uk/jobs/mainframe-performance-sme/57520404

## About the Role

* IBM Mainframe Performance Engineering
 * z/OS Performance Analysis
 * Db2 for z/OS Performance & Scalability
 * CICS Performance Tuning
 * RMF / SMF Analysis
 * WLM Policy & Capacity Management
 * MSU Consumption Analysis
 * Capacity Planning & Forecasting
 * Batch Workload Optimisation
 * Application & Database Performance Troubleshooting

Desirable Experience

 * IBM Z16 migrations or upgrades
 * TLS, System SSL and cryptographic workload analysis
 * CPACF, Crypto Express and ICSF
 * zIIP utilisation and offload optimisation
 * Observability and APM tooling including:

 * OMEGAMON
 * BMC MainView / AMI
 * Dynatrace
 * Datadog

## Description

This is a senior consulting engagement focused on identifying performance bottlenecks, scalability constraints and future growth risks across IBM Z infrastructure, z/OS, Db2 and CICS environments.

You will work closely with architecture, engineering and operations teams to assess current platform performance, analyse capacity trends and provide evidence-based recommendations to support future business growth., * Conduct end-to-end performance and scalability assessments across IBM Mainframe platforms.

 * Analyse workload behaviour across z/OS, CICS, Db2 and batch processing environments.
 * Identify current and future capacity constraints, utilisation trends and performance risks.
 * Investigate increases in CPU and MSU consumption, including impacts from IBM Z16 upgrades and infrastructure changes.
 * Assess workload attribution, licensing implications and optimisation opportunities.
 * Lead technical workshops and challenge assumptions through data-driven analysis.
 * Produce clear recommendations and prioritised remediation roadmaps.