Mainframe Infrastructure metrics engineer; Beloeil

For our client in the financial sector, we are currently looking for a Mainframe Infrastructure Metrics Engineer.

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, Dev Ops, operations, and application teams to ensure optimal workload behavior, guide performance tuning, and surface insights that drive engineering and business decisions.

• 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).
• 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 Dev Ops deployment pipelines.