First seen by our source: 26 days ago
RQ09644 - Sr. Systems Testing/QA Specialist
@ Source Code
Toronto, Ontario
Overview
Source Code is hiring a Senior Systems Testing/QA Specialist for a 7-month contract in downtown Toronto, with a possible extension. The role tests web and mobile applications, including AI/ML-enabled and biometric workflows, under a hybrid schedule of 3 days on-site and 2 remote.
Responsibilities:
- Test web and mobile applications
- Build and maintain automated test suites
- Validate AI-assisted user workflows and biometric integrity
- Verify AODA and WCAG 2.1 accessibility compliance
- Work within Agile DevOps teams
Requirements summary:
- 10+ years of QA experience
- Proficiency with Selenium, Cypress or Playwright
- Experience testing AI/ML-enabled applications
- Knowledge of AI explainability and transparency principles
- Deep understanding of AODA and WCAG 2.1 (Levels A, AA, AAA)
- Agile and DevOps experience
Tools & skills
Source and dates
Source type not verified · manatal
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-12
- Source record updated
- 2026-10-12
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 10+ years |
| Travel | air: none · ground: none |
| Work setting | Office, Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Source Code
| Field | Value |
|---|---|
| Open jobs on Jobsy | 656 |
RQ09644 - Sr. Systems Testing/QA Specialist
Downtown, Toronto
Hybrid: 3 Days onsite / 2 days remote
Contract (7 months, possible extension)
Must Haves:
- Experience in testing 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 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.
Nice to have:
- Understanding / Experience with AI testing tools and frameworks (e.g., MLFlow, TensorBoard).
- Understanding of AI model behaviour, including edge cases and bias detection.
Journal
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