QA Lead

NR Consulting; Canada; Remote; CAD 90,000 - 120,000; Full time

Job summary

A leading consulting firm is seeking an experienced QA Lead to define, lead, and execute comprehensive end-to-end (E2E) testing strategies. The ideal candidate should have over 10 years in Quality Engineering, focusing on automation and testing of integrated systems across various platforms. This role requires strong leadership skills and the ability to mentor engineering teams in advanced testing methodologies. The position offers flexibility with remote work options and a contract duration of 6 months with potential for extension.

Qualifications

• 10+ years in Quality Engineering with senior or lead role experience.
• Experience in testing integrated, cross-platform systems.
• Familiarity with AI-enabled testing tools.

Responsibilities

• Define and drive the E2E QA strategy for cross-platform applications.
• Lead complex end-to-end testing efforts as a subject matter expert.
• Conduct exploratory testing sessions on high-risk features.
• Certify major releases based on E2E test outcomes.

Skills

End-to-end testing

Automation

API testing

Cross-platform systems

Agile

Tools

Postman

Jira

Git

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.
• Performance Testing: Familiarity with load/performance testing tools (JMeter, LoadRunner, Gatling, etc.).
• Cloud/Containerization: Understanding of AWS and containerization (Docker, Kubernetes) for test environment management.