Lead Java Automation Test Engineer with AI
Primary stack
Nice to have's
Job description
About the Position
We are seeking a highly skilled Lead Java Automation Test Engineer with AI to join our team in Pune, India. The ideal candidate will have strong expertise in Java automation frameworks, API testing, CI/CD integration, and modern AI-driven testing practices. You will be responsible for designing scalable automation solutions, driving quality engineering practices, mentoring teams, and leveraging Generative AI and Agentic AI technologies to accelerate software testing and delivery.
Responsibilities
- Design, develop, enhance, and maintain scalable test automation frameworks using Java
- Build robust automation solutions using Selenium
- Lead framework architecture decisions focused on scalability, maintainability, and reusability
- Implement parallel execution strategies and optimize execution times across browsers and platforms
- Develop reusable libraries, utilities, and framework extensions
- Apply strong 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 through serialization and deserialization techniques
- Implement authentication and authorization mechanisms including Basic Authentication, Bearer Tokens, OAuth, and NTLM
- Handle session management and API integration testing
- Conduct code reviews and enforce clean coding standards
- Establish and govern coding standards, branching strategies, and version control best practices
- Integrate automation suites with 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
- 9 to 14 years of experience in test automation engineering
- Expertise in Java, Selenium, and test automation framework design
- Proficiency in Object-Oriented Programming principles and software design patterns such as Singleton, Factory, and Decorator
- Knowledge of Page Object Model and Page Factory
- Skills in API automation for REST and SOAP services including XML and JSON validation
- Competency in CI/CD and DevOps integration using Jenkins and GitHub Actions
- Capability to configure static code analysis, quality gates, and automation reporting dashboards
- Hands-on experience with Large Language Models such as GitHub Copilot, Claude, and Cursor
- Understanding of Prompt Engineering, Context Window Management, and Tokenization
- Familiarity with embeddings, vector databases, and semantic search applications
- Background in AI agents and AI-assisted engineering using tools such as OpenAI Assistants
Nice to Have
- Experience building 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
We Offer
- Opportunity to work with cutting-edge technologies in AI and automation
- Collaborative and innovative work environment
- Competitive compensation package
About the Company
EPAM Systems is a global software engineering and product development company with a focus on delivering digital platforms and solutions to clients across various industries. We are committed to fostering a culture of innovation, excellence, and continuous learning.
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