Senior Java Automation Test Engineer with AI in Pune, भारत

We are hiring a Senior Java Automation Test Engineer to elevate Java automation frameworks, API coverage, and CI/CD with AI-assisted acceleration. You will own Selenium and REST/SOAP automation design, improve stability and performance via parallel runs, and connect suites to Jenkins and GitHub Actions quality gates. If you enjoy applying Generative AI and Agentic AI to testing, apply today

Design, assemble, enhance, and sustain scalable test automation frameworks in Java Build stable Selenium-based automation solutions for UI testing Drive framework architectural decisions to maximize reuse, maintainability, and scalability Optimize parallel execution and shorten run times across multiple browsers and platforms Deliver reusable utilities, shared libraries, and framework add-ons Engineer API automation solutions that cover REST and SOAP services Verify XML and JSON payloads using serialization and deserialization techniques Implement authentication and authorization schemes such as Basic Authentication, Bearer Tokens, OAuth, and NTLM Coordinate session management and run API integration testing Review code and reinforce clean coding discipline across the team Establish and uphold standards for coding, branching approaches, and version control usage Wire automation suites into CI/CD pipelines through Jenkins and GitHub Actions Create AI-driven capabilities for test case generation, script generation, code review assistance, and API-based automation workflows 6–9 years of practical experience delivering test automation Excellent Java skills with strong Object-Oriented Programming fundamentals: classes, objects, inheritance, polymorphism, encapsulation, and abstraction Advanced experience creating scalable test automation frameworks and working with Selenium Hands-on expertise automating REST and SOAP API tests, including XML and JSON validation Solid understanding of design patterns including Singleton, Factory, and Decorator Working knowledge of Page Object Model and Page Factory practices Experience integrating CI/CD and DevOps workflows using Jenkins and GitHub Actions, plus static code analysis and quality gate setup Practical exposure to Large Language Models including GitHub Copilot, Claude, and Cursor Clear understanding of prompt engineering, context window management, and tokenization Familiarity with model selection techniques, embeddings, and vector databases for semantic search use cases Proven ability to design and build AI agents and AI-assisted engineering solutions using OpenAI Assistants, GitHub Copilot, and Claude Knowledge of similarity search approaches and retrieval mechanisms Background in agentic workflows and collaborative multi-agent systems for end-to-end testing, automated reporting, and workflow coordination Understanding of Retrieval-Augmented Generation and connecting LLMs to enterprise knowledge sources Familiarity with Model Context Protocol concepts and supporting frameworks Knowledge of Attention Mechanisms and Transformer-based model design