Offer summary

Qualifications:

Bachelor's degree in information systems, mathematics, finance, or related field., 10+ years of mainframe systems experience with proficiency in performance management for z/OS environments., Proven expertise in mainframe performance monitoring, capacity planning, and data analysis., Strong skills in performance tuning, anomaly detection, and incident resolution..

Key responsibilities:

Monitor real-time mainframe system performance and health.

Identify and troubleshoot performance anomalies and capacity issues.

Collaborate with cross-functional teams to optimize workload behavior and performance.

Develop reports and dashboards to communicate system performance and insights.

Job description

Description:
📌 Job Opening: Mainframe performance and capacity management Engineer
📍 Location: Remote role (Anywhere in Canada, but needs to work EST hours)
🕒 Duration: 12+ Months (Possible Extension)
🏢 Client: FinTech Client

Job Description:
Experience Level: Level 4 (advanced): 7-15 years
Location: Remote role (Anywhere in Canada, but needs to work EST hours)

Job Description
The Mainframe performance and capacity management engineer will be responsible for real-time mainframe performance monitoring, anomaly detection, and incident prevention to support our mission-critical workloads. You will use your expertise in performance optimization, capacity planning, and data analysis to identify both performance and capacity exceptions, ensuring our mainframe infrastructure operates efficiently and effectively. Leverage advanced tools and your technical expertise to safeguard performance, optimize resources, and enable seamless operations across critical business workloads. Collaborate with infrastructure, DevOps, operations, and application teams to ensure optimal workload behavior, guide performance tuning, and surface insights that drive engineering and business decisions.

Responsibilities
Performance Management and Capacity Planning:
• Monitor real-time z/OS system health and performance across CPU, memory, DASD, and WLM-managed workloads, using tools including RMF, SmartIS, IzPCA, 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.

Data Analysis:
• 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)

Collaboration and Communication:
• 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.

Experience:
• 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.
• Strong understanding of PR/SM.
• Proficiency in REXX/Python, Job Control Language (JCL) & DB2
• Strong understanding of Batch Processing and Job Scheduling
• 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
• Experience working with ADABAS is a plus

Qualifications:
• 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
• Analyze and solve business problems at their root, stepping back to understand the broader context.
• 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.
• IBM SCRT Reporting (plus)
• MICS Product & Reporting experience (huge plus)
• iZPCA Product experience (plus)
• 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.

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