Own the QA strategy end-to-end: from triaging risk to implementing automation
Design and implement a scalable QA process tailored for small, fast-moving teams
Set the quality bar for what's required to ship to production safely, even at higher cadence
Automate as much as possible, including integration, E2E, and regression testing across our Django and NextJS stack
Apply AI to QA — whether it's test case generation, diffing, log analysis, or something we haven't thought of yet
Collaborate closely with product engineers and prototypers to balance speed and safety

Experience standing up QA functions or frameworks in early-stage teams
Ability to prioritise testing pragmatically, balancing risk vs. velocity
Fluency in QA tooling and frameworks (e.g., Playwright, Pytest, Cypress)
Comfortable working across a full-stack environment (backend APIs, front-end UIs, async jobs)
Hands-on experience with CI/CD tooling (we use GitHub Actions)
Clear communicator who collaborates well with engineers and product leads
Experience testing AI-based or ML-driven products (Nice to Have)
Familiarity with pytest, factory_boy, or coverage.py in Python (Nice to Have)
Comfort writing or reviewing testable frontend components in React/NextJS (Nice to Have)

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