Agile Test Engineer - QA - Manual & Automation Ontario
Listed on 2026-02-28
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IT/Tech
Data Analyst, AI Engineer, IT QA Tester / Automation, Systems Analyst
Agile Test Engineer - QA - Manual & Automation Experience Required Shape the Future with Tribal Scale
At Tribal Scale, we're not just participating in digital transformation—we're driving it. As global leaders in innovation, we combine Agile methodologies and cutting-edge AI, including Large Language Models (LLMs), to create digital solutions that propel enterprises into the future. Based in Toronto with a hybrid workforce across the Americas, we're on an ambitious mission to "Right the Future." If you're a bold innovator ready to push the boundaries of what's possible, we invite you to join our team of digital pioneers.
Our Digital Expertise
- Transformation Experts: We transform traditional business models into agile, AI-powered ecosystems.
- Strategic Visionaries: We navigate the uncharted waters of technological evolution.
- Product Virtuosos: We orchestrate the creation of world-class digital solutions.
- Code Optimizers: We leverage AI to refine and perfect digital systems.
Our Technological Toolkit
- Voice-Activated Platforms: (Amazon Alexa, Google Home)
- Connected Ecosystems: (Cars and Homes)
The Tribal Scale Professional
You thrive in challenging environments where innovation is key. Your passion for technology is matched only by your drive to redefine its limits. You seek more than a job; you seek a calling—a chance to make a lasting impact on the digital landscape.
About YouYou are passionate about quality engineering and excited about the intersection of AI and software testing. You thrive in collaborative environments and want to work with cutting-edge technologies while ensuring exceptional user experiences. You appreciate ownership, recognition, and working directly with experienced founders who have launched products from conception to market success.
What You'll DoCore Responsibilities
Comprehensive Testing & QA
- Design and execute testing strategies across mobile, web, voice, wearable, and OTT applications to ensure robust application quality
- Execute functional, exploratory, regression, automated, and AI-assisted testing and troubleshooting defects
- Deploy and maintain AI-enhanced testing frameworks to streamline testing processes and improve accuracy
- Conduct performance, security, and accessibility testing to ensure compliance with modern standards
AI-Enhanced Testing
- Leverage generative AI platforms to create intelligent test cases, automate maintenance tasks, and conduct risk-based testing analysis
- Assist in implementing machine learning-based testing solutions for predictive defect detection and test optimization
- Analyze large-scale testing data using AI-driven analytics for insights and improvements
- Support the development and monitoring of automated test scripts with self-healing capabilities
Collaborative Quality Engineering
- Define testing strategies that ensure software quality throughout the entire SDLC
- Partner with cross-functional teams (developers, designers, product managers) in Agile environments
- Participate in shift-left testing practices, engaging from requirements gathering through production deployment
- Mentor junior team members in modern testing methodologies and AI tool adoption
Strategic Testing Innovation
- Consult with clients to understand testing requirements and define quality metrics
- Research and implement emerging testing technologies and methodologies
- Drive continuous improvement initiatives and champion quality engineering best practices
- Contribute to test automation strategy and CI/CD pipeline optimization
Technical Excellence
- Experience: 3-5 years in software testing and quality assurance with focus on mobile applications (iOS, Android)
- Education: Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Automation Expertise: Hands-on experience with Playwright, Cypress, Appium, Selenium, and modern test frameworks
- AI/ML Fundamentals: Understanding of machine learning concepts, data analysis, and AI-powered testing tools
- API Testing: Experience with REST APIs using tools like Postman, Charles Proxy
- Version Control: Proficiency with Git and collaborative development workflows
- AI-Powered Testing: Experience with generative AI testing tools and natural language test creation
- Data Analytics Fundamentals: Ability to assess data quality, interpret testing metrics, and extract actionable insights from test results
- CI/CD Pipeline Integration: Experience integrating automated tests into continuous integration pipelines
- Accessibility Testing: Understanding of WCAG guidelines and accessibility testing
- Performance Testing: Knowledge of JMeter, load testing, and performance optimization techniques
- Security Testing: Familiarity with security testing practices, vulnerability assessment, and compliance standards
- Analytical Thinking: Strong problem-solving, debugging, and root-cause analysis capabilities
- Communication: Excellent written and verbal communication with technical and non-technical stakeholders
- Agile Methodology: Deep understanding of Agile/Scrum practices and iterative…
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