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Software QA Engineer

  • Source: Naukri
  • NetApp
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

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

Skills

  • selenium
  • Playwright
  • Cypress
  • appium
  • Python
  • Java
  • javascript
  • Jenkins
  • Github
  • github-actions
  • microsoft-azure
  • azure-devops
  • amazon-web-services
  • google-cloud-platform
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