Remote Mainframe Performance & Capacity Engineer

IT Trailblazers, LLC.; United States; Remote; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

IT Trailblazers, LLC. is seeking a Mainframe Performance and Capacity Management Engineer for remote support of mission-critical workloads.

You will perform real-time performance monitoring, anomaly detection, and capacity planning to ensure efficient operation of the mainframe environment. You will use RMF, SmartIS, MICS and other tools to identify bottlenecks, surface insights, and collaborate with DevOps, operations and application teams.

Qualifikationen

• Bachelor's degree in information systems, Mathematics, Finance or another quantitative or related subject.
• 10 years of mainframe systems experience with 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.

Aufgaben

• Monitor real-time z/OS system health and performance across CPU, memory, DASD, and WLM-managed workloads using RMF, SmartIS, MICS and other internal tools.
• Detect, troubleshoot and resolve resource anomalies, workload misbehaviours, and degradation risks in production systems.
• Develop and implement performance tuning strategies by changing service definitions, dispatching priorities, and workload placement.
• Forecast and model workload resource demand and capacity requirements.
• Collaborate with operations, development and infrastructure teams; participate in on-call rotations.

Kenntnisse

Mainframe performance

WLM/Workload management

RMF

z/OS

JCL

REXX/Python

Data analysis

Excel/PowerPoint

Ausbildung

Bachelor's degree in information systems or quantitative field

Tools

RMF

SmartIS

MICS

SCRT

PR/SM

Jobbeschreibung

IT Trailblazers, LLC. is seeking a Mainframe Performance and Capacity Management Engineer for remote support of mission-critical workloads.

You will perform real-time performance monitoring, anomaly detection, and capacity planning to ensure efficient operation of the mainframe environment. You will use RMF, SmartIS, MICS and other tools to identify bottlenecks, surface insights, and collaborate with DevOps, operations and application teams.