QA Engineer (Manual + Automation) - Hybrid Impact

Internetwork Expert

Cape Town

Hybrid

ZAR 320,000 - 520,000

Full time

6 days ago
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Job summary

Pinewood.AI is seeking a technically strong QA Engineer to deliver our quality strategy for our Automotive Intelligence Platform. You will own manual testing, contribute to automation, and work closely with engineering and product teams to ensure features are fit for purpose, reliable, and releasable in a hybrid model (approx.

2/3 days onsite). The role emphasizes risk-based testing, clear communication, and continuous QA improvement.

Qualifications

  • Strong manual testing experience in Agile environments.
  • Experience with at least one automation tool or framework (Playwright, Cypress, Selenium).
  • Solid understanding of testing principles and techniques.
  • Ability to test across browsers, devices, and environments.
  • Experience with defect tracking tools (Jira, Azure DevOps).
  • API testing basics (Postman).
  • Comfortable validating data (basic SQL).
  • Git is a plus and shift-left mindset.

Responsibilities

  • Own manual testing for assigned features from refinement to release.
  • Design and execute meaningful test scenarios, not just scripted cases.
  • Perform functional, regression, exploratory, and integration testing.
  • Validate requirements and acceptance criteria.
  • Identify risk, edge cases, and user‑impacting defects early.
  • Provide clear go/no‑go quality assessments for releases.
  • Raise clear, actionable defects with strong reproduction steps.
  • Assess severity, priority, and customer impact.
  • Work closely with developers to support root‑cause analysis.
  • Retest fixes thoroughly and verify acceptance.
  • Engage actively in backlog refinement, planning, and retros.
  • Challenge unclear or incomplete requirements constructively.
  • Communicate quality status, risks, and confidence clearly.
  • Contribute ideas to improve QA practices and consistency.
  • Support regression and release testing activities.
  • Work in a hybrid model (approx. 2/3 days onsite).

Skills

Manual testing
Automation testing
Agile testing
Cross-browser testing
Communication
Risk-based testing

Tools

Playwright
Cypress
Selenium
Jira
Azure DevOps
Git
Postman
SQL

Job description

Pinewood.AI is seeking a technically strong QA Engineer to deliver our quality strategy for our Automotive Intelligence Platform. You will own manual testing, contribute to automation, and work closely with engineering and product teams to ensure features are fit for purpose, reliable, and releasable in a hybrid model (approx.

2/3 days onsite). The role emphasizes risk-based testing, clear communication, and continuous QA improvement.

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