Back to SearchSenior Java Automation Test Engineer with AI
Office in India: Pune, & 5 others
Automated Testing in Java& 8 others
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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.
Responsibilities
- 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
Requirements
- 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
Nice to have
- 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