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Mainframe Performance Capacity Jobs (NOW HIRING)

Alkaeus

Mainframe Performance Analyst

Boston, MA

Prior experience in Mainframe Operations, Capacity Management, Performance Engineering, or Production Support. · Business Translation: Exceptional skills in translating complex technical data into ...

Above and Beyond Talent Acquisition, Inc

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Mainframe Infra Engineer

Mclean, VA · On-site

$61 - $65/hr

Position Title: Mainframe Infra Engineer Location: McLean, VA Duration: TBD Employment Type ... Review system performance, capacity, availability, and stability * Recommend improvements for ...

Prophecy Technologies

Mainframe Java Architect

Hartford, CT · On-site

$63.50 - $85.75/hr

Mainframe Java Architect will lead the modernization of mainframe systems to Java/Spring Boot ... Drive capacity planning, performance testing, resiliency, and failover strategies. * Partner with ...

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Mainframe Performance Capacity information

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How much do mainframe performance capacity jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for mainframe performance capacity in the United States is $53.38, according to ZipRecruiter salary data. Most workers in this role earn between $47.12 and $60.58 per hour, depending on experience, location, and employer.

What are some common challenges Mainframe Performance Capacity professionals face when optimizing system resources?

Mainframe Performance Capacity professionals often encounter challenges such as balancing resource allocation to meet varying workload demands, identifying and resolving bottlenecks, and ensuring system scalability as business needs evolve. They must also stay ahead of hardware and software upgrades while maintaining system availability. Collaboration with application teams and infrastructure groups is essential to address performance issues and proactively plan for future capacity requirements.

What are Mainframe Performance Capacity jobs?

Mainframe Performance Capacity jobs focus on monitoring, analyzing, and optimizing the performance and resource utilization of mainframe computer systems. Professionals in this field ensure that mainframe environments run efficiently by tracking system workload, identifying bottlenecks, and planning for future capacity needs. Their work is critical for maintaining high availability and performance for organizations that rely on mainframes for large-scale data processing and critical business operations.

What is the difference between Mainframe Performance Capacity vs Mainframe Systems Analyst?

AspectMainframe Performance CapacityMainframe Systems Analyst
Primary FocusMonitoring and optimizing mainframe performance and capacity planningAnalyzing system requirements, troubleshooting, and implementing solutions
Required SkillsPerformance tuning, capacity management, system monitoring toolsSystem analysis, problem-solving, communication skills
CertificationsIBM Certified System Administrator, Performance Management certificationsIBM Certified System Analyst, related IT certifications
Work EnvironmentMainframe data centers, performance labsMainframe operation teams, IT departments

While Mainframe Performance Capacity specialists focus on ensuring optimal system performance and capacity planning, Mainframe Systems Analysts analyze and troubleshoot system issues to support business needs. Both roles require technical knowledge of mainframe systems but differ in their core responsibilities and daily tasks.

What are the key skills and qualifications needed to thrive as a Mainframe Performance Capacity Analyst, and why are they important?

To thrive as a Mainframe Performance Capacity Analyst, you need expertise in mainframe systems (such as IBM z/OS), capacity planning, and performance tuning, typically supported by a degree in computer science or related field. Familiarity with tools like IBM RMF, OMEGAMON, and CA SYSVIEW, as well as knowledge of workload automation and monitoring systems, is essential. Strong analytical, problem-solving, and communication skills help you interpret performance data and collaborate with IT teams. These skills ensure reliable mainframe operations, optimal resource utilization, and proactive resolution of performance issues.
Infographic showing various Mainframe Performance Capacity job openings in the United States as of June 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $111,026 per year, or $53.4 per hour.
Mainframe Performance, Capacity, and Monitoring (PCM) Expert : Remote

Mainframe Performance, Capacity, and Monitoring (PCM) Expert : Remote

Noblesoft Technologies

Frisco, TX • On-site

$131K/yr

Contractor

Posted 7 days ago

Job description

Role :- Mainframe Performance, Capacity, and Monitoring (PCM) Expert

Location :- Salisbury, NC/Boston, MA/Frisco, TX(Remote is also Fine)

Job type: Contract


Job Summary:

We are seeking a highly experienced and analytical z/OS PCM Expert to join our mainframe infrastructure team. This role is responsible for ensuring optimal performance, capacity planning, and proactive monitoring of z/OS systems. The ideal candidate will have deep expertise in system performance analysis, workload management, SMF/RMF data interpretation, capacity forecasting, and vendor collaboration. This role is critical to maintaining the health, efficiency, and scalability of enterprise mainframe environments.

Key Responsibilities:

Performance Management & Optimization

  • Monitor and analyze z/OS system performance using RMF, SMF, and IntelliMagic Vision.
  • Identify and resolve performance bottlenecks across CPU, memory, I/O, and network subsystems.
  • Tune WLM policies and system parameters to optimize workload distribution and throughput.
  • Collaborate with application and infrastructure teams to improve end-to-end performance.

Capacity Planning & LPAR Assessment

  • Forecast resource usage trends and plan for future capacity needs.
  • Conduct LPAR sizing assessments and recommend changes to PR/SM configurations.
  • Develop and maintain capacity models using historical SMF/RMF data.
  • Provide input for hardware upgrades, workload balancing, and infrastructure scaling.

Monitoring & Automation

  • Implement and maintain real-time monitoring solutions using tools like Omegamon, Mainview, and IntelliMagic.
  • BMC AMI ops knowledge a plus.
  • Develop automated alerts and dashboards for proactive issue detection and SLA tracking.
  • Integrate monitoring data with enterprise observability platforms and reporting systems.

Reporting & Analysis

  • Generate regular performance and capacity reports for technical and executive stakeholders.
  • Present findings and strategic recommendations based on data-driven analysis.
  • Maintain documentation of performance baselines, tuning activities, and capacity forecasts.

Vendor Collaboration

  • Work closely with IBM, BMC, IntelliMagic, and other vendors to evaluate, implement, and optimize performance tools and solutions.
  • Coordinate with vendors during tool upgrades, performance assessments, and issue resolution.
  • Participate in product roadmap discussions and provide feedback for enhancements.

Collaboration & Support

  • Work closely with z/OS system programmers, DB2 DBAs, MQ administrators, and application owners.
  • Participate in incident response and root cause analysis for performance-related outages.
  • Support disaster recovery and business continuity planning from a performance standpoint.

Required Skills and Experience:

  • 8+ years of experience in z/OS performance and capacity management.
  • Expert-level knowledge of SMF, RMF, WLM, and z/OS internals.
  • Hands-on experience with IntelliMagic Vision, Omegamon, Mainview, or equivalent tools.
  • Strong analytical skills in interpreting system metrics and logs.
  • Proficiency in REXX, SAS, or Python for data analysis and automation.
  • Familiarity with LPAR configuration, PR/SM, and z/OS hardware architecture.
  • Experience working with vendors on tool deployment and optimization.
  • Excellent communication and documentation skills.

Desired Skills and Experience:

  • Experience with AI-driven performance analytics platforms.
  • Knowledge of z/OS Connect, zCX, and hybrid cloud performance considerations.
  • Exposure to DevOps and observability practices in mainframe environments.
  • Understanding of capacity licensing models (e.g., zCAP, MSU, SCRT).

Certifications:

  • IBM Certified Specialist – System z Performance and Capacity Management (Preferred)