Proven experience in testing integrated, cross-platform systems (Web, Mobile, APIs)
Familiarity with AI-enabled testing tools or predictive quality methodologies
Requirements:
Define and drive the comprehensive E2E QA strategy and quality standards for all integrated cross-platform applications and services
Design, coordinate, and lead complex end-to-end testing efforts, serving as the subject matter expert for integrated systems
Lead the design and execution of integrated testing processes that validate user workflows across multiple systems
Conduct targeted exploratory and usability testing sessions on high-risk features and major releases to uncover experience gaps
Job description
Role: QA Lead
Location: Canada/Remote
Duration: 6 month+ can be extendable
Year of Experience: 8 to 15 Years
Job Description:
We are looking for a Senior QA Lead to define, lead, and execute comprehensive end-to-end (E2E) testing strategies across complex, integrated platforms. The ideal candidate will have strong experience in E2E validation across Web, Mobile, and API layers, with a focus on automation, AI-driven quality practices, and enterprise-scale quality governance. Key Responsibilities
Strategy & Oversight: Define and drive the comprehensive E2E QA strategy and quality standards for all integrated cross-platform applications and services.
Lead Complex E2E Testing: Design, coordinate, and lead complex end-to-end testing efforts, serving as the subject matter expert for integrated systems.
Cross-Platform Coordination: Lead the design and execution of integrated testing processes that validate user workflows across multiple systems.
Exploratory & Usability Testing: Conduct targeted exploratory and usability testing sessions on high-risk features and major releases to uncover experience gaps.
Release Certification: Serve as the final quality gatekeeper, certifying major releases and high-risk features based on E2E test outcomes and quality metrics.
Production Monitoring: Establish processes to monitor production quality signals (e.g., bug reports, crash analytics, user feedback) and feed insights into continuous improvement cycles.
Defect Management: Oversee the defect life cycle, ensuring efficient reporting, RCA, and resolution for complex, multi-system failures.
AI Integration: Evaluate, pilot, and integrate AI/ML-driven testing tools for visual regression, self-healing tests, intelligent data generation, and predictive defect management.
Leadership & Mentorship: Guide engineering teams on advanced E2E testing methodologies, test design, and execution best practices.
Requirements
Qualifications
Experience: 10+ years in Quality Engineering, including 3+ years in a senior or lead role with an emphasis on E2E or system-level testing.
Cross-Platform Expertise: Proven experience in testing integrated, cross-platform systems (Web, Mobile, APIs).
AI/ML Testing Exposure: Familiarity with AI-enabled testing tools or predictive quality methodologies.
Methodology: Strong understanding of Agile, SDLC, and STLC processes.
Technical Proficiency:
API testing tools: Postman, SoapUI (or equivalent)
Bug tracking: Jira, Azure DevOps
Version control: Git
Communication: Strong analytical, organizational, and communication skills; ability to convey complex risks to technical and business stakeholders.
Desirable Skills (Preferred)
Automation Strategy: Knowledge of AI-based test automation frameworks and CI/CD integration strategies.
