Senior Mainframe Performance Engineer

Machine Learning Technologies, LLC; Alpharetta (GA); On-site; USD 150,000 - 210,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a senior mainframe performance engineer to monitor z/OS health, analyze trends, and resolve production bottlenecks. You will drive capacity planning, tuning, and observability across multi-LPAR environments, collaborating with operations, development, and infrastructure teams.

The role emphasizes real-time problem solving, WLM adjustments, and data-driven leadership for enterprise-scale systems.

Qualifications

• Bachelor’s degree in information systems, Mathematics, Finance or another quantitative or related subject.
• 12+ 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, PowerPivot) 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 DevOps is a plus

Responsibilities

• 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.
• 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 KPIs and develop metrics to track system performance.
• Visualize, summarize and present data findings, recommendations, and methodology to senior leadership and stakeholders.
• Work with cross-functional teams including operations, development, and infrastructure.
• Provide technical support and guidance to team members and stakeholders.
• Participate in on-call rotations and migration of tooling to Git and DevOps pipelines.

Skills

Mainframe performance monitoring

Observability

Data analysis

Strong problem solving

Communication

Education

Bachelor's degree in information systems, mathematics, finance or related quantitative field

12+ years mainframe experience

Tools

RMF

MICS

z/OS

JCL

REXX/Python

Job description

Machine Learning Technologies, LLC is seeking a senior mainframe performance engineer to monitor z/OS health, analyze trends, and resolve production bottlenecks. You will drive capacity planning, tuning, and observability across multi-LPAR environments, collaborating with operations, development, and infrastructure teams.

The role emphasizes real-time problem solving, WLM adjustments, and data-driven leadership for enterprise-scale systems.