Lead Java Automation Test Engineer with AI

EPAM · Pune

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Last observed by our collector: 8 October 2026 at 11:23 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: bltpiedwmk2f05bv197

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Collected role description

We are looking for a Lead Java Automation Test Engineer with AI to shape scalable automation and AI-enabled quality practices. You will own Java/Selenium and API automation, guide architecture and standards, and integrate suites with Jenkins and GitHub Actions while applying Generative AI and Agentic AI approaches to speed delivery. Responsibilities Design, develop, enhance, and maintain scalable Java-based test automation frameworks Build robust Selenium automation solutions for reliable coverage Drive framework architecture choices that improve scalability, maintainability, and reusability Implement parallel execution strategies and reduce run time across browsers and platforms Create reusable libraries, utilities, and framework extensions for teams Apply Object-Oriented Programming principles including classes and objects, inheritance, polymorphism, encapsulation, and abstraction Design and implement API automation solutions for REST and SOAP services Validate XML and JSON payloads using serialization and deserialization techniques Implement authentication and authorization mechanisms including Basic Authentication, Bearer Tokens, OAuth, and NTLM Manage sessions and execute API integration testing effectively Conduct code reviews and uphold clean coding standards Establish and govern coding standards, branching strategies, and version control best practices Integrate automation suites into CI/CD pipelines using Jenkins and GitHub Actions Design and implement AI-driven solutions for automated test case generation, test script generation, and code reviews Requirements Extensive background in test automation engineering (9–14 years) Deep expertise in Java, Selenium, and test automation framework design Strong foundation in Object-Oriented Programming and design patterns such as Singleton, Factory, and Decorator Practical knowledge of Page Object Model and Page Factory Hands-on skills in API automation for REST and SOAP services, including XML and JSON validation Proven proficiency with CI/CD and DevOps integration using Jenkins and GitHub Actions Ability to set up static code analysis, quality gates, and automation reporting dashboards Direct experience with Large Language Models such as GitHub Copilot, Claude, and Cursor Working understanding of Prompt Engineering, Context Window Management, and Tokenization Familiarity with embeddings, vector databases, and semantic search use cases Exposure to AI agents and AI-assisted engineering with tools such as OpenAI Assistants Nice to have Experience creating multi-agent and agentic workflows for end-to-end testing and workflow orchestration Knowledge of Retrieval-Augmented Generation architectures and integration with enterprise knowledge sources Understanding of Model Context Protocol concepts and frameworks Understanding of Attention Mechanisms and Transformer-based model architectures

Collected experience requirement

9-14 years