Key Facts

Remote From:

Fixed term

Senior (5-10 years)

Hard Skills

Automated Information Systems API Testing Good Governance Agile Software Development Git (Version Control System) JIRA Cross-Platform Applications Process Analysis SoapUI Azure DevOps AI Testing Test Automation Kubernetes AWS Cloud Services Load Testing CI/CD Docker (Software) Performance Analysis

Other Skills

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Organizational Skills
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Communication
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Analytical Skills

Roles & Responsibilities

10+ years in Quality Engineering
3+ years in senior or lead role
Experience with integrated systems
Familiarity with AI-enabled testing tools
Strong understanding of Agile, SDLC, STLC
Proficient with testing tools and methodologies

Requirements:

Define E2E QA strategy and standards
Lead complex end-to-end testing efforts
Design cross-platform testing processes
Conduct exploratory and usability testing
Certify major releases and high-risk features
Establish production quality monitoring processes
Oversee defect life cycle management
Integrate AI/ML-driven testing tools
Guide engineering teams on testing best practices

NR Consulting

Information Technology & Services

About NR Consulting

NR Consulting is one of the fastest-growing Global IT & Workforce Solutions Company with a growth of 100% YoY for last consecutive 5 years. Our specialization keeps our focus strong, knowledge sharp and fastest solutions speed in the industry. Our unique & unrelenting model results to instant access to the most sought-after technology innovators. We offer unmatched IT & Workforce Solutions to our clients by developing an in-depth understanding of their business needs. We specialize in Contingent Hiring, Direct Hires, Statement of Work, RPO, MSP/VMS and Managed IT Services.

Company type: Large

Industry: Information Technology & Services

Founded: 2018

Company size: 1001 - 5000

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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.