Senior Java Test Automation Engineer with AI Expertise

Responsibilities

• Design, develop, and maintain scalable test automation frameworks using Java and industry-standard testing tools, ensuring reliability, maintainability, and high test coverage
• Integrate Generative AI and LLM-based capabilities into test automation workflows to support test case generation, automation script development, test data synthesis, and intelligent defect analysis
• Develop and integrate AI-powered agents, utilities, and APIs to automate testing activities, optimize regression testing, and streamline quality assurance processes
• Apply software design patterns, clean code principles, reusable components, and robust architectural practices to build maintainable automation solutions
• Integrate automated test suites and AI-powered testing capabilities into CI/CD pipelines, enabling continuous testing, intelligent test selection, automated failure analysis, and quality gates
• Evaluate the accuracy, reliability, and effectiveness of LLM-based testing solutions using appropriate evaluation methods, monitoring, and observability practices
• Assess emerging GenAI models, AI coding assistants, and AI-driven testing tools; develop prototypes and recommend solutions based on technical feasibility and business value
• Work closely with developers, QA engineers, DevOps specialists, and other stakeholders to promote engineering excellence and accelerate AI adoption across the SDLC
• Present technical solutions and AI-driven automation prototypes, explaining their architecture, benefits, limitations, and implementation considerations

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