Remote AI QA Engineer for E‑commerce Platform

ThriveCart

United States

Remote

USD 90,000 - 120,000

Full time

10 days ago
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Job summary

ThriveCart is seeking a QA Engineer to own quality end-to-end for its e-commerce platform, focusing on test strategy, automation, defect prevention, and production health monitoring. AI-enabled test case generation and data creation are core, with emphasis on judgment, risk, and critical thinking.

You will write and maintain API/integration/end-to-end tests, ensure CI/CD integration, and monitor features in production using observability tools.

Qualifications

  • Strong testing fundamentals and risk-based prioritization.
  • Hands-on automation experience with Playwright.
  • Comfortable with API testing (Postman/REST) and logs reading.
  • Ability to use AI tools in a QA workflow and critique AI output.
  • Clear written bug reports and test plans that others can act on without meetings.

Responsibilities

  • Define test strategy and planning for features and domains, including acceptance criteria.
  • Write and maintain automated tests (API, integration, end-to-end) in team frameworks.
  • Monitor production quality and respond to incidents with targeted regression testing.
  • Prioritize AI-generated test output based on risk and project context.
  • Advocate for quality through reproducible bug reports and known issue documentation.
  • Collaborate with developers to improve testability and strengthen unit tests.

Skills

Testing fundamentals
API testing
Playwright
CI/CD
Observability
AI in QA

Tools

Postman
Playwright
GitHub Actions
AWS CloudWatch

Job description

ThriveCart is seeking a QA Engineer to own quality end-to-end for its e-commerce platform, focusing on test strategy, automation, defect prevention, and production health monitoring. AI-enabled test case generation and data creation are core, with emphasis on judgment, risk, and critical thinking.

You will write and maintain API/integration/end-to-end tests, ensure CI/CD integration, and monitor features in production using observability tools.

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