Automation Tester Java Jobs in Toronto, ON (NOW HIRING)

You 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.

Comprehensive Testing & Quality Assurance

• 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

• 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
• Programming: Proficiency in JavaScript, TypeScript, Python, Java, or similar languages with OOP concepts
• 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
• Cross-Platform Testing: Proficiency testing applications across multiple browsers, operating systems, and device types to ensure consistent user experience
• 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 development
• Quality Advocacy: Passionate about pushing quality boundaries and motivating teams toward excellence
• Adaptability: Ability to quickly learn new technologies and adapt to changing requirements

Advanced Technical Experience

• Experience building automated test frameworks from scratch
• Native mobile testing with XCUITest, Espresso, or similar frameworks
• Experience with AI testing platforms (Functionize, Mabl, testRigor, KaneAI)
• Knowledge of containerization (Docker, Kubernetes) for test environment management

Specialized Knowledge

• Experience testing AI/ML models and algorithms
• IoT and connected device testing experience
• Blockchain or cryptocurrency application testing
• Background in data science or machine learning engineering

Quality Metrics

• Defect detection rate and severity analysis
• Test coverage and automation ratio improvements
• Customer-reported defect reduction percentage

Innovation & Efficiency

• AI tool adoption and ROI measurement
• Test execution time reduction through automation
• Process improvement initiatives implemented
• Team collaboration effectiveness scores

Professional Development

• Continuous learning and certification achievements
• Knowledge sharing and mentoring contributions
• Cross-functional collaboration success metrics