Lead QA Engineer

Role Overview

Join Stack AI as the first dedicated Lead QA Engineer in a hands-on QA role. You’ll help ensure the reliability, scalability, and usability of the platform powering AI-driven workflows for thousands of users.

Responsibilities

• Test Planning & Execution

  • Design, write, and execute test plans for new features across web, APIs, and backend systems.
  • Build and maintain automated test suites (unit, integration, end-to-end) for a TypeScript + Python stack.
  • Run regression and performance tests before major releases.
  • Identify, document, and verify bugs with engineering.

• Automation & Tooling

  • Own and extend the QA 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.
  • Improve observability (logs, alerts, dashboards) to detect quality issues early.

• Collaboration & Process

  • Partner with Product and Engineering to understand user workflows and find high-risk areas.
  • Collaborate directly with developers to debug issues and verify fixes.
  • Document and standardize QA processes for future hires.
  • Participate in code reviews, release planning, and sprint retrospectives.

Requirements

• 2–4 years of experience in QA, test automation, or software testing.
• Proficient in Python.
• Strong familiarity with JavaScript/TypeScript testing tools (Cypress, Playwright, Jest) and Python test frameworks (PyTest, unittest).
• Experience testing APIs (REST/GraphQL) and web applications end-to-end.
• Solid understanding of software lifecycles, Git, and CI/CD (e.g., GitHub Actions, Render).
• Strong attention to detail and ability to build reliable, maintainable systems.
• Excellent communication and cross-functional collaboration.

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.
• Startup experience and comfort with ambiguity and fast shipping.