Publié il y a 22 jours
Intermediate QA Tester (with AI-Generated Code Testing)
@ iVedha Inc.
Toronto, Ontario
SIGNAUX
Résumé des exigences :
- The role involves performing manual testing, validating functionality against requirements, identifying and tracking defects, and collaborating with developers and product teams to ensure…
- Strong Quality Assurance knowledge, including understanding of QA processes, standards, and best practices.
- Hands-on experience with Manual Testing and execution of Test Cases across web, mobile, or API-based applications.
- Proficiency in Test Execution and defect tracking, with the ability to clearly document issues and steps to reproduce.
- Solid Analytical Skills for interpreting requirements, assessing AI-generated code behavior, and identifying edge cases.
- Experience testing AI-driven or algorithmic features, with attention to reliability, accuracy, and risk mitigation.
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-10-22
- Première détection par notre source
- 2026-11-14
- Mise à jour du dossier source
- 2026-11-14
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
iVedha Inc.
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 5 |
Description
Company Description iVedha Inc. is a technology solutions partner focused on helping organizations navigate the digital future through AI, Platform Engineering, and Professional & Managed Services. The company collaborates closely with clients to drive transformative change and support strategic business objectives. iVedha delivers cutting-edge solutions that enhance operational efficiency and build resilient, scalable platforms. Team members work in an environment that values innovation, collaboration, and staying ahead of the curve in an evolving digital landscape. Joining iVedha means contributing to building forward-looking solutions for diverse industries.
Role Description The Intermediate QA Tester (with AI-Generated Code Testing) is a full-time, on-site role based in Toronto, ON. This position is responsible for designing, executing, and documenting test cases for software applications, including solutions that incorporate AI-generated code. The role involves performing manual testing, validating functionality against requirements, identifying and tracking defects, and collaborating with developers and product teams to ensure high-quality releases. The tester will analyze test results, contribute to improving testing processes, and help refine quality assurance practices, particularly around the reliability and safety of AI-driven features. Daily activities include test planning, test execution, reporting, and participation in agile ceremonies and review sessions.
Qualifications
Role Description The Intermediate QA Tester (with AI-Generated Code Testing) is a full-time, on-site role based in Toronto, ON. This position is responsible for designing, executing, and documenting test cases for software applications, including solutions that incorporate AI-generated code. The role involves performing manual testing, validating functionality against requirements, identifying and tracking defects, and collaborating with developers and product teams to ensure high-quality releases. The tester will analyze test results, contribute to improving testing processes, and help refine quality assurance practices, particularly around the reliability and safety of AI-driven features. Daily activities include test planning, test execution, reporting, and participation in agile ceremonies and review sessions.
Qualifications
- Strong Quality Assurance knowledge, including understanding of QA processes, standards, and best practices.
- Hands-on experience with Manual Testing and execution of Test Cases across web, mobile, or API-based applications.
- Proficiency in Test Execution and defect tracking, with the ability to clearly document issues and steps to reproduce.
- Solid Analytical Skills for interpreting requirements, assessing AI-generated code behavior, and identifying edge cases.
- Experience testing AI-driven or algorithmic features, with attention to reliability, accuracy, and risk mitigation.
- Familiarity with common test management and bug tracking tools (e.g., Jira, Azure DevOps, TestRail or equivalents).
- Understanding of SDLC and agile methodologies, and experience working in cross-functional product or engineering teams.
- Post-secondary education in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent practical experience.
- Clear written and verbal communication skills, with the ability to present test findings and collaborate with diverse stakeholders.
- Attention to detail, ownership mindset, and willingness to continuously learn in a fast-evolving technology environment.
Journal
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