Lead QA Engineer

The role

You will be the first dedicated QA hire to set the foundation for automated testing, release validation, and reliability metrics. You will test features across web, API, and backend systems and build automated QA systems.

What you will do

• Design, write, and execute test plans for new features across web, API, and backend systems.
• Develop and maintain automated test suites 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 the test automation framework.
• Integrate testing into CI/CD pipelines.
• Use tools like Postman or k6 to validate APIs and load behavior.
• Contribute to improving observability.
• Partner with Product and Engineering to understand user workflows.
• Collaborate directly with developers to debug issues and verify fixes.

Required qualifications

• 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)
• Strong familiarity with 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
• Excellent communication skills

Nice to have

• 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.

About the company

Stack AI is a no-code platform that lets anyone design, test, and deploy AI workflows powered by large language models like GPT-4. The team consists of engineers and researchers from MIT, Stanford, and Y Combinator.