AI-Driven Performance Lead — Remote Canada

Quality Ai; Canada; Remote; CAD 110,000 - 170,000; Full time

Job summary

QualityAI is seeking a Performance Lead to join our team in Canada (remote). You will drive performance testing strategies across SAP processes, leveraging LoadRunner and AI-enabled approaches.

You will collaborate with clients to shape KPIs, non-functional requirements and roadmaps for scalable, reliable systems. You will lead the design of workload models, supervise automation of scripts and ensure robust integration into CI/CD pipelines, while maintaining governance for AI-assisted testing

Qualifications

• Must have LoadRunner expertise.
• Deep SAP knowledge for performance testing.
• Understanding of GenAI implementation in performance testing.

Responsibilities

• Solution delivery and leadership of performance testing programs.
• Assess existing performance testing practices, tooling and architecture; identify gaps and improvements.
• Define performance testing strategy, KPIs and non-functional requirements with client stakeholders.
• Design workload models based on production usage and telemetry.
• Architect and lead AI-driven performance testing solutions; automate script creation, maintenance and results analysis.
• Develop and maintain LoadRunner scripts for SAP processes.
• Analyze test results; identify bottlenecks; raise defects; recommend tuning actions.
• Integrate performance testing into CI/CD workflows; ensure governance and audit controls for AI-assisted testing.
• Produce clear performance reports and document client solutions.

Skills

LoadRunner

SAP performance

GenAI in performance testing

Tools

MCPs (Model Context Protocol)

Job description

QualityAI is seeking a Performance Lead to join our team in Canada (remote). You will drive performance testing strategies across SAP processes, leveraging LoadRunner and AI-enabled approaches.

You will collaborate with clients to shape KPIs, non-functional requirements and roadmaps for scalable, reliable systems. You will lead the design of workload models, supervise automation of scripts and ensure robust integration into CI/CD pipelines, while maintaining governance for AI-assisted testing