EXPERIENCE LEVEL

Level 4 (Advanced): 7–15 years

WHAT SKILLS YOU BRING

• 10+ years of mainframe systems experience in large, multi-processor, multi-LPAR, Parallel Sysplex z/OS environments
• Proven track record in real-time performance monitoring, capacity management, and tuning via WLM and batch initiator adjustments
• Deep knowledge of SMF/RMF data, WLM service definitions, PR/SM, and z/OS workload behavior
• Proficiency in scripting with REXX or Python, JCL, and DB2 utilities
• Strong understanding of batch processing, job scheduling, and resource optimization techniques
• Advanced Excel skills (PivotTables, VLOOKUP, PowerPivot) and PowerPoint for data visualization and reporting
• Excellent analytical, problem-solving, and strategic thinking abilities with attention to detail
• Outstanding written and verbal communication skills; comfortable presenting to technical and non-technical audiences

WHY THIS ROLE MATTERS

You will safeguard the performance and scalability of mission-critical mainframe workloads, preventing incidents before they happen and ensuring seamless operations across Morgan Stanley’s enterprise infrastructure. Your expertise in real-time monitoring, anomaly detection, and capacity forecasting will directly impact uptime, cost efficiency, and service quality for high-value business processes.

WHAT YOU WILL DO

• Monitor and analyze real-time z/OS health across CPU, memory, DASD, and WLM workloads using RMF, SmartIS, IzPCA, MICS, and internal tools
• Detect, troubleshoot, and resolve performance anomalies and workload degradation in production, partnering with incident response teams
• Develop and implement tuning strategies: adjust service definitions, dispatch priorities, and workload placements to optimize throughput
• Forecast resource demand and model capacity requirements to support long-term infrastructure sizing, cost modeling, and vendor reporting (SCRT)
• Collect, visualize, and present performance KPIs and capacity metrics—creating dashboards and reports for senior leadership and technical stakeholders
• Participate in on-call rotations, responding promptly to performance and observability alerts
• Lead migration of performance and capacity tooling into Git-based change management and DevOps deployment pipelines