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 looking for a Senior Java Automation Test Engineer with AI to scale Java automation, API testing, and CI/CD while applying modern AI-driven testing. You will design maintainable Selenium and REST/SOAP automation, optimize parallel execution, and embed quality gates with Jenkins and GitHub Actions. Bring your Generative AI and Agentic AI skills to speed delivery.
Responsibilities
- Architect, build, improve, and maintain scalable Java-based test automation frameworks
- Develop reliable automation solutions using Selenium
- Guide framework architecture decisions with a focus on scalability, maintainability, and reuse
- Implement parallel execution approaches and reduce run times across browsers and platforms
- Create reusable libraries, utility tools, and framework extensions
- Design and deliver API automation solutions for REST and SOAP testing
- Validate XML and JSON payload integrity through serialization and deserialization
- Establish authentication and authorization methods including Basic Authentication, Bearer Tokens, OAuth, and NTLM
- Manage sessions and execute API integration testing
- Perform code reviews and uphold clean coding practices
- Define and enforce standards for coding, branching strategies, and version control practices
- Integrate automation test suites into CI/CD pipelines with Jenkins and GitHub Actions
- Architect and implement AI-driven features for automated test case creation, script generation, code review support, and API-based automation workflows
Requirements
- 6–9 years of hands-on experience in test automation
- Strong command of Java with Object-Oriented Programming fundamentals including classes, objects, inheritance, polymorphism, encapsulation, and abstraction
- Deep expertise in building scalable test automation frameworks and using Selenium
- Proven ability in API test automation for REST and SOAP services, including validation of XML and JSON payloads
- Solid knowledge of software design patterns such as Singleton, Factory, and Decorator
- Practical familiarity with Page Object Model and Page Factory approaches
- Background 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 such as GitHub Copilot, Claude, and Cursor
- Strong grasp of prompt engineering, context window management, and tokenization
- Working knowledge of model selection approaches, 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 building 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