Lead QA Engineer - Remote

Overview

We’re looking for a QA Engineer to join our fast-moving engineering team at Stack AI in San Francisco. You’ll play a key role in ensuring the reliability, scalability, and usability of the platform that powers AI-driven workflows for thousands of users.

This is a hands-on role for someone who’s deeply curious about how things work, loves to break them (safely), and wants to help us deliver the most stable, polished version of Stack AI possible. You’ll work closely with engineers, product managers, and designers to test features, build automated QA systems, and shape our quality culture from the ground up.

In Short

• You’ll be the first dedicated QA hire, setting the foundation for automated testing, release validation, and reliability metrics across the entire product surface.
• Design, write, and execute test plans for new features across web, API, and backend systems.
• Develop and maintain automated test suites (unit, integration, end-to-end) for a modern TypeScript + Python stack.
• Run regression and performance tests before major releases.
• Identify, document, and verify bugs in collaboration with engineers.
• Own and extend our test automation framework (Cypress, Playwright, or similar).
• Integrate testing into CI/CD pipelines to catch regressions early.
• Use tools like Postman or k6 to validate APIs and load behavior.
• Collaborate directly with developers to debug issues and verify fixes.
• Participate in code reviews, release planning, and sprint retrospectives.

Requirements

• 2–4 years of experience in QA, Test Automation, or Software Testing.
• Must be proficient in Python.
• Strong familiarity with JavaScript/TypeScript (Cypress, Playwright, or Jest) and Python-based testing frameworks (PyTest, unittest).
• Experience testing APIs (REST/GraphQL) and web applications end-to-end.
• Solid understanding of software lifecycles, Git, and CI/CD (GitHub Actions, Render, or similar).
• Strong attention to detail and a love for building reliable, maintainable systems.
• Excellent communication skills and collaborative mindset, especially when working cross-functionally.

Benefits

• Experience testing AI/ML systems, data pipelines, or model outputs.
• Familiarity with backend infrastructure (Temporal, PostgreSQL, Redis, Docker, FastAPI).
• Performance or security testing experience.
• Prior startup experience, you’re comfortable with ambiguity and shipping fast.