Posted 22 days ago
Intermediate QA Tester (with AI-Generated Code Testing)
@ iVedha Inc.
Toronto, Ontario
Overview
iVedha Inc. is hiring a full-time, on-site Intermediate QA Tester in Toronto, ON to design, execute and document test cases for software, including AI-generated code. The work covers manual testing, requirement validation, defect tracking and agile collaboration with developers and product teams. The posting states full-time, on-site work in Toronto.
Responsibilities:
- Design, execute and document test cases for software applications
- Perform manual testing and validate functionality against requirements
- Identify, track and document defects with steps to reproduce
- Test AI-generated code and AI-driven features for reliability and accuracy
- Participate in agile ceremonies, test planning and reporting
Requirements summary:
- Strong QA knowledge and manual testing of web, mobile or API applications
- Defect tracking with clear documentation
- Experience with Jira, Azure DevOps, TestRail or equivalents
- Understanding of SDLC and agile methodologies
- Post-secondary education in a related discipline or equivalent experience
- Clear written and verbal communication skills
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-10-22
- First seen by our source
- 2026-11-14
- Source record updated
- 2026-11-14
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Software development |
| Hours per week | 40 (estimated) |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | College diploma (preferred), Bachelor’s degree (preferred) |
| Fields of study | Computer Science, Software Engineering, Information Technology |
Summary and details written by AI from the posting; the employer’s posting is the authority.
iVedha Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 5 |
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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