RQ10534 - Systems Testing/QA Specialist - Senior

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General Skills: <\/span><\/b>
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• Experience in planning, organizing and implementing testing efforts at the specified experience level <\/span>
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• Knowledge of structured methodologies for the development, design, implementation and maintenance of applications <\/span>
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• Knowledge and experience in the use of Computer Aided Software Engineering (CASE) tools and data query tools to aid in the development of test cases <\/span>
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• Knowledge and experience in the use of automated test tools and version control systems on one or more platforms <\/span>
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• Experience executing functional tests, non\-functional tests and systems level integration tests <\/span>
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• Experience supporting user acceptance testing and participating in UAT activities <\/span>
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• Experience with quality assurance principles, practices, tools and structured methodologies <\/span>
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• Experience creating testing strategy documentation, test plans, test cases and test data for various types and phases of testing, including technical and business functional validation <\/span>
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• Experience in quality assurance and testing, including unit testing, integration testing, load testing, performance testing, etc. <\/span>
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• Knowledge and experience in all phases of the Systems Development Life Cycle <\/span>
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• Excellent analytical, problem\-solving and decision\-making skills; organizational, creativity and perseverance skills; verbal and written communication skills; and interpersonal skills <\/span>
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• A team player with a track record for meeting deadlines <\/span>
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• Knowledge of one or more automated testing tools <\/span>
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  Desirable Skills: <\/span><\/b>
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  • Knowledge and experience in at least one programming language <\/span>
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  • Experience in the use of information retrieval packages <\/span>
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  • Knowledge and understanding of testing methods in an object\-oriented environment <\/span>
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  • Knowledge and understanding of Information Management principles, concepts, policies and practices. <\/span>
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  • Knowledge and understanding of Accessibility for Ontarians with Disability Act (AODA) and related regulations and standards <\/span>
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  • Experience planning and organizing testing efforts for both large and small systems <\/span>
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  • Experience coding automated test scripts to produce sets of automated test cases <\/span>
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  • Experience testing Commercial Off\-the Shelf Applications (COTS)<\/span>
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    Requirements <\/h3>

    Experience and Skill Set Requirements: <\/span><\/u><\/b>
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    Must Haves: <\/span><\/u><\/b>
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    • Experience testing on web\/mobile applications
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    • 10+ years of experience as a QA.
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    • Proficiency in automated testing tools (e.g., Selenium, Cypress, Playwright).
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    • Experience testing AI\/ML\-enabled applications**
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    • Familiarity with AI explainability as well as AI transparency principles.*
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    • Ability to validate AI\-assisted user workflows and ensure biometric integrity.*
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    • Experience working with within an Agile environment \- DevOps
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    • applying deep understanding of AODA \/ WCAG 2.1 success criteria (Levels A, AA, AAA), including principles, success criteria and techniques.
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      Nice to have: <\/b>
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      • Understanding \/ Experience with AI testing tools and frameworks (e.g., MLFlow, TensorBoard).
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      • Understanding of AI model behavior, including edge cases and bias detection.
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        Skill Set Requirements: <\/span><\/u><\/b>
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        Project and Digital Experience: <\/span><\/b>
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        Candidate possesses expert knowledge and proven experience: <\/span>
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        • Working in Agile, Scrum, and DevOps environments. <\/span>
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        • Collaborating with multidisciplinary teams including developers, designers, AI engineers, product managers and business SMEs. <\/span>
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        • 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. <\/span>
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        • 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. <\/span>
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        • Working with user stories, analyzing business and technical requirements, and generating test data requests. <\/span>
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        • Applying deep understanding of WCAG 2.1 success criteria (Levels A, AA, AAA), including principles, success criteria and techniques. <\/span>
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          Technical Skills: <\/span><\/b>
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          • Hands\-on experience testing web and mobile applications. <\/span>
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          • Proficiency in automated testing tools (e.g., Selenium, Cypress, Playwright). <\/span>
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          • Knowledge of AODA compliance testing and tools (e.g., JAWS, VoiceOver, Axe, Accessibility Insights, WAVE). <\/span>
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          • Experience with CI\/CD pipelines and version control systems (e.g., Git, Azure DevOps). <\/span>
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          • Understanding of image processing and biometric data integrity. <\/span>
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            Testing Skills: <\/span><\/b>
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            • Extensive experience in manual and automated testing across functional, non\-functional, and integration layers. <\/span>
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            • Skilled in using data query tools (e.g., SQL, Excel) to support test case development. <\/span>
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            • Experience supporting and executing User Acceptance Testing (UAT). <\/span>
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            • Strong grasp of QA principles, tools, and structured methodologies. <\/span>
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            • Proven ability to create and manage test strategies, test plans, test cases, and reusable test scripts. <\/span>
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            • Experience with unit testing, load testing, performance testing, and other specialized testing types. <\/span>
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            • Ability to develop modular testing frameworks for scalable and reusable components. <\/span>
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              AI Skills and Experience: <\/span><\/b>
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              • Experience testing AI\/ML\-enabled applications <\/span>
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              • Understanding of AI model behavior, including edge cases and bias detection. <\/span>
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              • Ability to validate AI\-assisted user workflows and ensure biometric integrity. <\/span>
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              • Familiarity with AI explainability as well as AI transparency principles. <\/span>
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              • Experience with AI testing tools and frameworks (e.g., MLFlow, TensorBoard). <\/span>
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              • Collaboration with AI engineers to define testable model requirements and performance benchmarks. <\/span>
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