Senior Java Automation Test Engineer with AI

We are seeking a highly skilled Senior Java Automation Test Engineer with strong expertise in Java automation frameworks, API testing, CI/CD integration and modern AI-driven testing practices. The ideal candidate will be responsible for designing scalable automation solutions, driving quality engineering practices, mentoring teams and leveraging Generative AI and Agentic AI technologies to accelerate software testing and delivery.

Responsibilities

• Design, develop, enhance and maintain scalable test automation frameworks using Java
• Build robust automation solutions using Selenium
• Lead framework architecture decisions focused on scalability, maintainability and reusability
• Implement parallel execution strategies and optimize execution times across browsers and platforms
• Develop reusable libraries, utilities and framework extensions
• Design and implement API automation solutions for REST and SOAP services
• Validate XML and JSON payloads through serialization and deserialization techniques
• Implement authentication and authorization mechanisms including Basic Authentication, Bearer Tokens, OAuth and NTLM
• Handle session management and API integration testing
• Conduct code reviews and enforce clean coding standards
• Establish and govern coding standards, branching strategies and version control best practices
• Integrate automation suites with CI/CD pipelines using Jenkins and GitHub Actions
• Design and implement AI-driven solutions for automated test case generation, test script generation, code reviews and API-driven automation workflows

Requirements

• 6 to 9 years of working experience in test automation
• Proficiency in Java with strong Object-Oriented Programming principles including classes and objects, inheritance, polymorphism, encapsulation and abstraction
• Expertise in scalable test automation frameworks and Selenium
• Skills in API test automation for REST and SOAP services with XML and JSON payload validation
• Competency in software design patterns including Singleton, Factory and Decorator
• Knowledge of Page Object Model and Page Factory
• Background in CI/CD and DevOps integration using Jenkins and GitHub Actions with static code analysis and quality gates
• Hands-on experience with Large Language Models such as GitHub Copilot, Claude and Cursor
• Understanding of prompt engineering, context window management and tokenization
• Familiarity with model selection strategies, embeddings and vector databases for semantic search applications
• Capability to design and implement AI agents and AI-assisted engineering using OpenAI Assistants, GitHub Copilot and Claude
• Understanding of similarity search and retrieval mechanisms

Nice to have

• Experience building agentic workflows and collaborative agent systems for end-to-end testing, automated reporting and workflow orchestration
• Knowledge of Retrieval-Augmented Generation architectures and integrating LLMs with enterprise knowledge sources
• Understanding of Model Context Protocol concepts and frameworks
• Understanding of Attention Mechanisms and Transformer-based model architectures