Systems Testing/QA Specialist - Senior

• 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.

LanceSoft