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Lead Java Automation Test Engineer with AI

Office in India: Pune, & 5 others
Automated Testing in Java& 8 others
relocation
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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