Mainframe Performance and capacity management Engineer

eTeam; Quebec; Remote; CAD 70,000 - 100,000; Full time

Job summary

A technology company seeks a Mainframe Performance and Capacity Management Engineer to monitor z/OS system health and performance. You will analyze performance data, develop tuning strategies, and collaborate with various teams. Candidates should have a degree in a quantitative field and experience with mainframe systems, performance monitoring, and data analysis. This role is remote-friendly but requires working EST hours.

Qualifications

• Strong analytical and data analysis skills.
• Proficiency in performance management for mainframe systems.
• Experience with DevOps is a plus.

Responsibilities

• Monitor z/OS system health and performance.
• Analyze performance data to identify issues.
• Develop performance tuning strategies.

Skills

Analytical skills

Data visualization

Problem solving

Communication skills

Attention to detail

Education

Bachelor’s degree in information systems or related field

Tools

REXX

Python

JCL

DB2

MS Excel

MS PowerPoint

Job description

Overview

Role Name: Mainframe Performance and Capacity Management Engineer

Location: Montreal, QC

Location note: Remote role (Anywhere in Canada, but needs to work EST hours)

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 and 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.
• 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 SMF / RMF data.
• 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.