Senior Software QA Engineer
Job Summary
- Define and execute the AI-based QA strategy across projects.
- Design and develop scalable AI-enabled automation frameworks.
- Implement AI/GenAI use cases such as:
- Test case& script generation
- Defect analysis & prediction
- Risk-based and intelligent testing
- Test data generation
- Build self-healingautomation smart reporting and predictive analytics solutions.
- Evaluate and integrate AI tools LLMs and QA platforms.
- Collaborate with cross-functional teams (QA Dev Product DevOps).
- Establish best practices governance and reusable QA components.
- Develop POCs and scale them to enterprise-level solutions.
- Define and track automation and AI effectiveness metrics.
- Mentor teams on AI-driven QA practices.
- 10 years in QA automation or architecture roles.
- Strong experience in test automation frameworks (Selenium Playwright Cypress Appium REST Assured etc.).
- Solid understanding of AI/ML/GenAI concepts applied to QA.
- Hands-on experience with LLM-based solutions (test generation log analysis etc.).
- Programming expertise in Python Java or JavaScript.
- Experience with CI/CD tools (Jenkins GitHub Actions Azure DevOps etc.).
- Knowledge of API UI performance security testing and test data management.
- Ability to design and integrate AI-first QA solutions.
- Strong architecture problem-solving and stakeholder management skills.
- GenAI prompt engineering RAG AI agents
- MLOps / LLMOps knowledge
- Cloud (AWS/Azure/GCP)
- Vector DBs embeddings AI orchestration
- Predictive analytics & self-healing automation
Required Experience:
Senior IC
About Company
At NetApp, our top priority is the health and safety of our event attendees and employees, including every community around the world being impacted by COVID-19. As a result, we have decided to reimagine our annual NetApp INSIGHT Paris and Berlin events to be fully digital. We’re als ... View more