27600

Job Summary

Lead the design and implementation of an AI-driven QA strategy to transform testing processes.

Architect and build next-generation QA frameworks leveraging AI/ML and Generative AI.

Drive innovation across test automation, defect prediction, and test optimization to improve quality, efficiency, and speed.

Act as a technical leader and advisor, enabling teams to adopt AI-powered testing solutions at scale.

Job Requirements

• 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-healing automation, 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.

Education

• 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.

Preferred:

• GenAI, prompt engineering, RAG, AI agents

• MLOps / LLMOps knowledge

• Cloud (AWS/Azure/GCP)

• Vector DBs, embeddings, AI orchestration

• Predictive analytics & self-healing automation

At Net App, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer:

Net App is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.

Why You'll Thrive at Net App

At Net App, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.

Net App is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.

Our culture

We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.

If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.

Submitting an Application

To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.

AI Disclosure

For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.