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Software Quality Assurance Analyst (GenAI-Enabled)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Software Quality Assurance Analyst (GenAI-Enabled) (QA automation/GenAI): Designing and executing manual and automated tests for functional, regression, integration, and system validation with an accent on AI-augmented testing, prompt engineering, and intelligent automation. Focus on generating test cases and data, optimizing regression suites, validating AI outputs, and applying self-healing and risk-based testing strategies.
Location: Hybrid, with in-office presence in Sherbrooke, Canada
Company
is hiring for a role within its Quality Engineering organization.
What you will do
- Analyze requirements and user stories to define test scenarios and coverage strategies.
- Design, execute, and maintain manual and automated functional, regression, integration, and system tests.
- Perform exploratory, negative, and ad hoc testing to identify edge cases and defects.
- Document and manage defects through their lifecycle using Azure DevOps, Jira, or TestRail.
- Collaborate with developers to reproduce issues, validate fixes, and support release validation.
- Use GenAI to accelerate test-case generation, test-data creation, automation scripting, defect analysis, and root-cause investigation.
Requirements
- Bachelor’s degree in Computer Science or a related field, or equivalent experience.
- 3–5 years of software QA experience in Agile environments.
- Experience with test-case design and execution, functional and regression testing, and defect lifecycle management.
- Understanding of the SDLC, STLC, release processes, AI agents, and their Quality Engineering applications.
- Practical experience with GenAI tools such as GitHub Copilot or AI assistants, including prompt engineering for test generation and validation.
- Professional proficiency in both French and English, spoken and written, and availability for hybrid work with in-office presence in Sherbrooke.
Nice to have
- Working knowledge of Selenium, Playwright, or Cypress.
- Understanding of API testing and data validation, with SQL preferred.
- Experience with self-healing automation, risk-based test prioritization, or intelligent defect prediction.
Culture & Benefits
- Collaboration with Product, Development, and DevOps teams across the software development lifecycle.
- Continuous adoption and evaluation of emerging AI tools and technologies for Quality Engineering.
- Hybrid work environment with some in-office presence in Sherbrooke.
Hiring process
- Interviews assess individual skills, experience, and communication without AI tools, external prompts, or third-party assistance.
- In-person interviews are included, and applicants may be required to appear onsite at a office.
- AI-generated responses or third-party support during interviews may result in disqualification.
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