QA Engineer
Nuclearn
- Phoenix, AZ
- Permanent
- Full-time
- Collaborate with developers and product managers to understand requirements and translate them into comprehensive test strategies.
- Design, write, and execute automated and manual test cases across our React frontend and Python backend.
- Build and maintain test automation frameworks (e.g., Cypress, PyTest) to validate platform functionality, API integrations, and user workflows.
- Proactively identify areas to apply automation and reduce manual test burden, especially in regression and smoke testing.
- Explore and apply AI-assisted approaches to test generation, bug prediction, and defect triage as part of continuous improvement.
- Own end-to-end regression testing for product releases and critical customer workflows.
- Identify, document, and track software bugs and inconsistencies, driving resolution before production deployment.
- Establish and evolve QA processes, promoting a culture of quality throughout the development lifecycle.
- Work closely with DevOps to ensure quality in CI/CD pipelines and automated deployments.
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
- Core Skills:
- Experience testing full stack web applications (frontend and backend).
- Automated test frameworks: Cypress, PyTest (or equivalents).
- CI/CD tools and version control: Git, GitHub Actions, etc.
- Strong understanding of QA methodologies, tools, and processes.
- Excellent communication and collaboration skills.
- Proactive mindset with high attention to detail.
- Ability to contribute independently within 6 weeks of onboarding.
- Experience testing applications built with React and FastAPI.
- Familiarity with Docker/Podman and Kubernetes.
- Experience with performance/load testing and security testing tools.
- Prior experience with AI-powered testing tools (e.g., for test case generation, anomaly detection, or intelligent prioritization).
- Interest in applying LLMs or AI models to support quality control, including log analysis, test planning, or defect prediction.
- Exposure to nuclear, utility, or other regulated industries.
- Prior startup experience or comfort operating in high-velocity environments.
- Full-time salaried position
- Mon-Fri hybrid work environment (expectation is at least 80% in-office)
- Competitive pay, bonus structure, and equity.
- Opportunity to make a huge impact in a growing, self-funded company.
- Unique opportunity to work for a company training and applying LLMs and other state-of-the-art AI techniques.
- Unlimited vacation.
- Health insurance.