QA Engineer

About Thrive Cart:

Thrive Cart is a powerful platform used by over 50,000 people worldwide to generate over $5B in sales. Included within the Thrive Cart platform is a learning management system (LMS), affiliate management, cart and checkout functionality, making it a top solution for creators, coaches, consultants, and other businesses.

We integrate with everything you use and have a simple, clean UI with numerous features that allow customers to build income from existing traffic and we are the highest-converting cart for online businesses. Our business is growing, profitable, and backed by LTV SaaS Growth Funds, and we are looking to expand our footprint amongst online businesses.

Remote (Europe / LATAM)

You’ll own quality end-to-end for Thrive Cart’s e-commerce platform — test strategy, automation, defect prevention, and production health monitoring. This isn't a click-through-test-cases role: you own quality for your domain.

AI is a core part of the workflow here, not a bonus skill — for generating test cases, creating test data, drafting test plans, and accelerating automation. What we’re hiring for is judgment: knowing which tests actually matter, understanding risk, and thinking critically about AI-generated output.

Test Strategy & Planning

• Own the quality strategy for your features and domain: test plans, risk assessment, coverage decisions
• Flag ambiguities and testability gaps during requirements review, before code is written — shift-left quality
• Define acceptance criteria in partnership with Product
• Balance manual exploration with automated regression coverage
• Document test plans, coverage decisions, and known risk areas for async visibility across the team

Test Automation

• Write and maintain automated tests (API, integration, end-to-end) using the team’s frameworks
• Keep automation suites fast, reliable, and maintainable — flaky tests are yours to fix, not ignore
• Maintain CI/CD integration for test execution

Production Quality & Incident Response

• Monitor features in production using observability tools — quality doesn't end at release
• Respond to dev-escalations and incidents with urgency: assess blast radius, run targeted regression testing, help isolate root cause, communicate findings clearly

AI-Augmented QA (Expected, Not Optional)

• Use AI tools daily: generating test cases and data, drafting test plans, analyzing bug patterns, accelerating automation writing
• AI will generate more test cases than you need — prioritize ruthlessly based on risk
• Review all AI-generated test output critically: AI has no product context, you do

Defect Advocacy & Communication

• Write clear, reproducible bug reports that developers can act on immediately
• Advocate for quality: flag risks before release, document known issues, be explicit about what is and isn’t tested

Collaboration

• Work closely with developers to improve testability at the code level
• Help developers write better unit tests by identifying untested scenarios

Technical Environment

• Testing: API testing (Postman/REST clients), browser automation (Playwright), unit/integration test frameworks
• CI/CD:
  Git Hub Actions (tests run on every PR)
• Observability: AWS Cloud Watch, application logs, metrics dashboards
• Platform stack: PHP/Type Script, Ruby/Type Script, MariaDB, Redis, AWS
• Playwright is our standard framework for browser automation — what matters most is strong testing fundamentals

Must-haves:

• Strong testing fundamentals — test strategy, test case design, risk-based prioritization
• Hands-on automation experience with Playwright
• Comfortable with API testing (Postman/REST clients) and reading application logs
• Already using — or genuinely motivated to use — AI tools in a QA workflow
• Clear written…