Systems Testing/QA Specialist - Senior
LanceSoft View all jobs
- Toronto, ON
- Permanent
- Full-time
Duration: 246 Business Days
Location: Toronto, ON (Onsite)Experience and Skill Set Requirements
Project and Digital Experience - 20%
Candidate possesses expert knowledge and proven experience:
- Working in Agile, Scrum, and DevOps environments.
- Collaborating with multidisciplinary teams including developers, designers, AI engineers, product managers and business SMEs.
- Planning and executing comprehensive testing activities throughout iterative Agile sprints, executing continuous validation and ensuring highest accessibility and compliance standards are being met across evolving product increments.
- Using structured workflow and collaboration tools for managing defects throughout their entire lifecycle - from identification and logging, through prioritization and triage, to resolution, verification, and closure.
- Working with user stories, analyzing business and technical requirements, and generating test data requests.
- Applying deep understanding of WCAG 2.1 success criteria (Levels A, AA, AAA), including principles, success criteria and techniques.
- Hands-on experience testing web and mobile applications.
- Proficiency in automated testing tools (e.g., Selenium, Cypress, Playwright).
- Knowledge of AODA compliance testing and tools (e.g., JAWS, VoiceOver, Axe, Accessibility Insights, WAVE).
- Experience with CI/CD pipelines and version control systems (e.g., Git, Azure DevOps).
- Understanding of image processing and biometric data integrity.
- Extensive experience in manual and automated testing across functional, non-functional, and integration layers.
- Skilled in using data query tools (e.g., SQL, Excel) to support test case development.
- Experience supporting and executing User Acceptance Testing (UAT).
- Strong grasp of QA principles, tools, and structured methodologies.
- Proven ability to create and manage test strategies, test plans, test cases, and reusable test scripts.
- Experience with unit testing, load testing, performance testing, and other specialized testing types.
- Ability to develop modular testing frameworks for scalable and reusable components.
- Experience testing AI/ML-enabled applications
- Understanding of AI model behavior, including edge cases and bias detection.
- Ability to validate AI-assisted user workflows and ensure biometric integrity.
- Familiarity with AI explainability as well as AI transparency principles.
- Experience with AI testing tools and frameworks (e.g., MLFlow, TensorBoard).
- Collaboration with AI engineers to define testable model requirements and performance benchmarks.
- Experience testing on web/mobile applications
- 10+ years of experience as a QA.
- Proficiency in automated testing tools (e.g., Selenium, Cypress, Playwright).
- Experience testing AI/ML-enabled applications**
- Familiarity with AI explainability as well as AI transparency principles.*
- Ability to validate AI-assisted user workflows and ensure biometric integrity.*
- Experience working with within an Agile environment - DevOps
- applying deep understanding of AODA / WCAG 2.1 success criteria (Levels A, AA, AAA), including principles, success criteria and techniques.
- Understanding / Experience with AI testing tools and frameworks (e.g., MLFlow, TensorBoard).
- Understanding of AI model behavior, including edge cases and bias detection.