Cognizant
QA Automation Engineer (Generative AI)
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QA Automation Engineer with Generative AI Expertise
We are seeking a highly skilled QA Automation Engineer with expertise in Generative AI, modern automation frameworks, and hands-on AI experience. The ideal candidate will drive quality assurance initiatives using cutting-edge technologies and AI-powered testing solutions.
Role requires working from office in Burgess Hill 5 days a week.
Key Responsibilities:
- Design, develop, and maintain automated test frameworks using Python, JavaScript, and Playwright
- Implement AI-powered testing solutions to enhance test coverage and efficiency
- Create and execute API tests using RestAssured or Karate frameworks
- Collaborate with development teams to ensure quality throughout the SDLC
- Analyze test results and provide actionable insights
- Mentor junior team members on automation best practices
- Contribute to continuous improvement of testing processes
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Key Skills and Experience:
Generative AI
- Strong understanding of Generative AI concepts and applications in software testing
- Experience implementing AI-driven test automation solutions
- Familiarity with LLMs, prompt engineering, and AI model integration
Python (MUST HAVE)
- Proficient in Python programming for test automation and scripting
- Experience with Python testing frameworks (pytest, unittest)
- Ability to develop custom automation utilities and tools
JavaScript (GOOD TO HAVE)
- Strong JavaScript/TypeScript programming skills
- Experience with Node.js ecosystem for testing
- Understanding of modern ES6+ features
Playwright (MUST HAVE)
- Hands-on experience with Playwright for end-to-end testing
- Cross-browser testing implementation
- Page Object Model design patterns
- API testing capabilities within Playwright
RestAssured / Karate (GOOD TO HAVE)
- Expertise in API testing using RestAssured (Java) or Karate framework
- RESTful API validation and automation
- Data-driven testing and BDD approach
- JSON/XML response validation
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Hands-on AI Experience
- Hands-on experience integrating AI into testing workflows
- Understanding of AI/ML testing challenges and solutions
- Experience with AI-powered test generation or analysis tools
ADDITIONAL REQUIREMENTS
- Experience in software testing and automation
- Strong understanding of CI/CD pipelines and DevOps practices
- Experience with version control systems (Git)
- Excellent problem-solving and analytical skills
- Strong communication and collaboration abilities
- Ability to work in an Agile/Scrum environment
NICE TO HAVE
- Experience in financial services or payments industry
- Knowledge of security testing practices
- Cloud platform experience (AWS, Azure, GCP)
- Performance testing experience
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