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
- Robust 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

📌 Lead Java Automation Test Engineer with AI (Pune)
🏢 EPAM Systems
📍 Pune