Note: The job is a remote job and is open to candidates in USA. LanceSoft, Inc. is recruiting for a confidential client seeking a Mainframe Performance and Capacity Management Engineer. The role monitors and optimizes z/OS performance, plans capacity, analyzes system data, and collaborates with infrastructure, operations, DevOps, and application teams to support critical workloads.
Responsibilities
- 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 DevOps deployment pipelines
Skills
- 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
- 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
- Strong analytical, problem solving and strategic thinking skills including the ability to prioritize
- Proficiency in data analysis and creation of dashboards and various visualizations that will provide actionable insights for operations, engineering and management decision making
- Working knowledge of MS Office suite for management reporting using both PowerPoint and Excel analytical functions
- Comfortable taking information from disparate systems to bring data elements together for meaningful insights
- Excellent written and verbal communication skills
- Ability to work independently and as part of a team
- Detail-oriented with strong organizational skills
- Deep expertise with SMF/RMF data, WLM service definitions, and z/OS workload behavior
- Exhibit good time management skills, independent thinking and decision-making capabilities
- High sense of urgency and ability to prioritize competing requirements in a fast-paced environment
- Proficiency in REXX/Python (plus)
- Experience with DevOps is a plus
- IBM SCRT Reporting (plus)
- MICS Product & Reporting experience (plus)
Benefits
- Remote
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