Mainframe and capacity management engineer
Listed on 2026-11-01
-
IT/Tech
Systems Engineer, Data Analyst, SRE/Site Reliability, Data Engineering
Job Title:
Mainframe performance and capacity management engineer
Location:
Remote
Type of hire:
Contract
Job Description :
The Mainframe performance and capacity management engineer will be 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. Leverage advanced tools and your technical expertise to safeguard performance, optimize resources, and enable seamless operations across critical business workloads.
Collaborate with infrastructure, Dev Ops, operations, and application teams to ensure optimal workload behavior, guide performance tuning, and surface insights that drive engineering and business decisions.
- Monitor real‑time z/OS system health and performance across CPU, memory, DASD, and WLM‑managed workloads, using tools including RMF, SmartIS, MICS, and other internal tools. Analyze performance data to identify trends, bottlenecks, and potential issues.
- Detect, troubleshoot, and resolve resource anomalies, workload misbehaviors, 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.
- Collect and analyze 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)
- 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 Dev Ops deployment pipelines.
- Bachelor’s degree in information systems, Mathematics, Finance or another quantitative or related subject
- 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.
- Basic understanding of PR/SM.
- Proficiency in Job Control Language (JCL) & DB2
- Proficiency in REXX/Python (plus)
- Advanced user of MS Excel (Charts, Pivot tables, Vlookups, Power Pivot) 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.
- Experience with Dev Ops is a plus
- Strong analytical, problem solving and strategic thinking skills including the ability to prioritize.
- Proficiency in data analysis and creation of dashboards and various…
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