QA Automation Engineer (Generative AI)
Cognizant
Burgess Hill, UK
15 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Testing (Software)
Java (Programming Language)
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Automation of Tests
Microsoft Azure
Cloud Computing
Code Coverage
DevOps
Python (Programming Language)
Node.Js
+17 more
Scrum Methodology
Systems Development Life Cycle
E2e Testing
Data Driven Tests
Scripting
Google Cloud
Large Language Models
Prompt Engineering
ReadyAPI
Generative AI
Git
Pytest
Playwright
Restful APIs
Es2015
Software Version Control
Api Management
Job description
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., * 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
Requirements
- Strong understanding of Generative AI concepts and applications in software testing
- Familiarity with LLMs, prompt engineering, and AI model integration
- Proficient in Python programming for test automation and scripting
- Experience with Python testing frameworks (pytest, unittest)
- Ability to develop custom automation utilities and tools
- Experience with Node.js ecosystem for testing
- Understanding of modern ES6+ features
- Hands-on experience with Playwright for end-to-end testing
- API testing capabilities within Playwright
- Expertise in API testing using RestAssured (Java) or Karate framework
- RESTful API validation and automation
- Data-driven testing and BDD approach
- 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, * 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, * Experience in financial services or payments industry
- Knowledge of security testing practices
- Cloud platform experience (AWS, Azure, GCP)
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