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Mainframe Capacity Planner Jobs (NOW HIRING)

Tech Observer

Mainframe Utilities

Phoenix, AZ

$48.75 - $62.50/hr

Perform capacity planning and performance tuning for scheduling systems Dev & Deployment Tools Engineering * Develop and maintain mainframe DevOps and deployment pipelines * Work with tools such as ...

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How much do mainframe capacity planner jobs pay per year?

As of May 29, 2026, the average yearly pay for mainframe capacity planner in the United States is $86,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $127,000.00 per year, depending on experience, location, and employer.

What is a Mainframe Capacity Planner job?

A Mainframe Capacity Planner is responsible for analyzing, forecasting, and optimizing mainframe resource usage to ensure system performance and cost efficiency. They monitor system capacity, evaluate workload trends, and provide recommendations for hardware and software upgrades. Their role involves collaboration with IT teams to prevent performance bottlenecks and ensure the mainframe environment meets business needs.

What are the key skills and qualifications needed to thrive in the Mainframe Capacity Planner position, and why are they important?

To thrive as a Mainframe Capacity Planner, you need in-depth knowledge of mainframe systems, performance analysis, and capacity management, often supported by a degree in computer science, IT, or a related field. Familiarity with tools such as IBM RMF, CA MICS, or BMC MainView, as well as certifications like ITIL or vendor-specific credentials, are highly valuable. Strong analytical thinking, problem-solving skills, and effective communication are essential soft skills for this role. These competencies are crucial to accurately forecast resource needs, optimize system performance, and collaborate effectively across IT teams.

What are some typical daily responsibilities of a Mainframe Capacity Planner?

Mainframe Capacity Planners routinely monitor system performance metrics, analyze workload trends, and forecast future resource requirements to ensure optimal mainframe operation. They work closely with infrastructure teams to recommend hardware or software adjustments and plan for upgrades or expansions. Collaborative meetings with application and IT support teams are common in order to discuss capacity impacts of new projects or business initiatives. Additionally, Mainframe Capacity Planners often create detailed reports and present findings to both technical and non-technical stakeholders to drive informed decision-making.
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Mainframe Capacity Planner jobs near you
Infographic showing various Mainframe Capacity Planner job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, 2% Temporary, and 31% Contract. Highlights an 78% In-person, 8% Hybrid, and 14% Remote job distribution, with an average salary of $86,720 per year, or $41.7 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 19 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)