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Sr Mainframe Capacity & Performance Engineer

Listing for: Data Bricks Inc
Full Time position Listed on 2026-11-08
Job specializations:
  • IT/Tech
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR

Job Description & How to Apply Below

  • Monitor, analyze, and optimize performance across IBM zSystems mainframe environments.
  • Conduct capacity planning, workload forecasting, resource utilization analysis, and long-range capacity projections.
  • Perform MIPS forecasting using IBM zPCR and z/OS AIOps toolsets.
  • Run application load tests and assess production readiness based on CPU, memory, throughput, and workload metrics.
  • Conduct capacity and performance assessments for production and integration environments, including before-and-after test comparisons.
  • Identify bottlenecks, performance risks, and resource constraints in application and infrastructure performance.
  • Support performance engineering for CICS, DB2, z/OS Connect, Web Sphere Application Server (Traditional and Liberty), and IBM MQ.
  • Perform real-time Sysplex, LPAR, and CEC monitoring, root cause analysis, and tuning.
  • Build and maintain automated SAS-based reporting for resource utilization, trending, forecasting, and performance analysis.
  • Produce performance reports, trend analyses, capacity forecasts, and executive recommendations.
  • Create and maintain technical documentation, SOPs, diagrams, and knowledge repositories.
  • Support business resiliency, disaster recovery, data replication, and hybrid cloud initiatives.
  • Participate in modernization efforts, proofs of concept, emerging technology evaluations, Agile activities, and continuous improvement.
  • Recommend system configuration changes to improve performance, availability, and scalability.
  • Support after-hours troubleshooting and problem determination as required.
Job Description
  • Monitor, analyze, and optimize performance across IBM zSystems mainframe environments.
  • Conduct capacity planning, workload forecasting, resource utilization analysis, and long-range capacity projections.
  • Perform MIPS forecasting using IBM zPCR and z/OS AIOps toolsets.
  • Run application load tests and assess production readiness based on CPU, memory, throughput, and workload metrics.
  • Conduct capacity and performance assessments for production and integration environments, including before-and-after test comparisons.
  • Identify bottlenecks, performance risks, and resource constraints in application and infrastructure performance.
  • Support performance engineering for CICS, DB2, z/OS Connect, Web Sphere Application Server (Traditional and Liberty), and IBM MQ.
  • Perform real-time Sysplex, LPAR, and CEC monitoring, root cause analysis, and tuning.
  • Build and maintain automated SAS-based reporting for resource utilization, trending, forecasting, and performance analysis.
  • Produce performance reports, trend analyses, capacity forecasts, and executive recommendations.
  • Create and maintain technical documentation, SOPs, diagrams, and knowledge repositories.
  • Support business resiliency, disaster recovery, data replication, and hybrid cloud initiatives.
  • Participate in modernization efforts, proofs of concept, emerging technology evaluations, Agile activities, and continuous improvement.
  • Recommend system configuration changes to improve performance, availability, and scalability.
  • Support after-hours troubleshooting and problem determination as required.
Experience

Required Qualifications
  • 7+ years supporting IBM zSystems mainframe performance engineering, capacity planning, forecasting, and systems performance analysis.
  • Analyzing, monitoring, and tuning z/OS and zLinux environments.
  • Application load testing, workload analysis, performance benchmarking, and production readiness assessments.
  • MIPS modeling, trend analysis, capacity forecasting, utilization reporting, and long-term capacity planning.
  • Troubleshooting performance, throughput, response time, and workload management issues in enterprise mainframe environments.
  • Supporting disaster recovery, business resiliency, data replication, and…
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