Senior Java Automation Test Engineer with AI in Pune, भारत

We are seeking a Senior Java Automation Test Engineer to build scalable Java and Selenium automation and strengthen API testing with CI/CD integration. You will shape framework architecture, expand REST/SOAP automation with robust XML/JSON validation, and enable fast feedback through Jenkins and GitHub Actions. Use Generative AI and Agentic AI to streamline testing workflows.

Plan, implement, evolve, and maintain scalable Java automation frameworks Create dependable UI automation leveraging Selenium Lead architecture decisions for frameworks with emphasis on reuse, scalability, and maintainability Apply parallel execution strategies and improve execution times across browsers and platforms Build shared utilities, reusable libraries, and framework extensions Develop API automation solutions that support REST and SOAP services Validate XML and JSON payloads through serialization and deserialization methods Configure authentication and authorization patterns including Basic Authentication, Bearer Tokens, OAuth, and NTLM Supervise session management and conduct API integration testing Conduct code reviews and ensure clean coding discipline is followed Define and enforce coding standards, branching approaches, and version control practices Integrate automation suites with CI/CD pipelines using Jenkins and GitHub Actions Build AI-driven capabilities for automated test case creation, script generation, code review support, and API-based automation workflows 6–9 years of hands-on test automation experience Strong Java proficiency with Object-Oriented Programming fundamentals: classes, objects, inheritance, polymorphism, encapsulation, and abstraction Deep experience designing scalable test automation frameworks and working with Selenium Demonstrated capability in REST and SOAP API automation, including XML and JSON payload validation Sound knowledge of software design patterns such as Singleton, Factory, and Decorator Experience applying Page Object Model and Page Factory approaches Experience integrating CI/CD and DevOps workflows using Jenkins and GitHub Actions, including static code analysis and quality gate implementation Hands-on experience with Large Language Models like GitHub Copilot, Claude, and Cursor Solid understanding of prompt engineering, context window management, and tokenization Working knowledge of model selection methods, embeddings, and vector databases for semantic search use cases Ability to design and build AI agents and AI-assisted engineering solutions using OpenAI Assistants, GitHub Copilot, and Claude Understanding of similarity search techniques and retrieval mechanisms Experience with agentic workflows and collaborative multi-agent systems for end-to-end testing, automated reporting, and workflow coordination Familiarity with Retrieval-Augmented Generation architectures and integrating LLMs with enterprise knowledge sources Understanding of Model Context Protocol concepts and related frameworks Knowledge of Attention Mechanisms and Transformer-based model design