QA Engineer

About ThriveCart: ThriveCart is a powerful platform used by over 50,000 people worldwide to generate over $5B in sales. Included within the ThriveCart 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. Location: Remote (Europe / LATAM) Job Overview: You'll own quality end-to-end for ThriveCart'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. What You'll Own: 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 What You Bring To This Role: Technical Environment Testing: API testing (Postman/REST clients), browser automation (Playwright), unit/integration test frameworks CI/CD: GitHub Actions (tests run on every PR) Observability: AWS CloudWatch, application logs, metrics dashboards Platform stack: PHP/TypeScript, Ruby/TypeScript, 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 communication: bug reports and test plans others can act on without a meeting Nice-to-haves: Experience testing an e-commerce, payments, or subscription platform Familiarity with PHP, TypeScript, or Ruby codebases AWS/CloudWatch or similar observability tooling GitHub Actions or another CI/CD pipeline Expectations by Level: L1 (Junior QA) — 0–1 yrs: Executes test plans, writes simple automation with guidance, reports bugs clearly. Bootcamp, internship, or early professional QA experience is fine — we're hiring for rigor and curiosity over tenure. Uses AI to learn faster and generate test cases; validates all AI output. L2 (QA Engineer 1) — 1–3 yrs: Has independently owned quality for a feature or product area — not just extended someone else's test plan or suite, but built one. Writes comprehensive test plans and automation, and responds to incidents with targeted testing. L3 (Senior QA) — 3–6 yrs: Has led incident response from the QA side and mentored other QAs. Owns quality strategy for complex projects, improves automation architecture and infrastructure, and uses AI to multiply output rather than just speed up individual tasks. L4 (Lead QA) — 6+ yrs: Has set QA standards or practices for a team, not just followed them. Serves as the quality authority for a domain, drives major incident response, and partners with leadership on quality metrics and AI tooling strategy. Success Metrics: 30 days: First test plan written and approved, first automated tests in CI pipeline, understands the most critical user journeys 60 days: Independently owning quality for a feature, automation suite stable, first incident response contribution 90 days: Contributing to test strategy discussions, handling dev-escalations independently in your area On-Call: Shared rotation with engineering (~1 week/month after ramp-up). QA on-call focuses on blast radius assessment and regression testing during incidents. Career Path: Junior QA QA Engineer 1 Senior QA Lead QA Head of Quality Learn More About ThriveCart: Our Values are: Commit to Excellence Find a Way Help Each Other Keep Growing Data First Our team and product are growing rapidly- we achieved YoY growth of 64% from 2022-2023, and we’re just getting started. We believe in open communication, clear goal setting, and that people do best when they have a growth mindset and want to get things done. Our team comes from diverse backgrounds and companies like Shopify, Salesforce, and BigCommerce, and we are running like an independent SaaS company within a PE fund.