Lead Java Automation Test Engineer with AI

Location: Office, India

About the Position

We are seeking a highly skilled Lead Java Automation Test Engineer with strong expertise in Java automation frameworks, API testing, CI/CD integration, and modern AI-driven testing practices. The ideal candidate 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
• Implementation of parallel execution strategies and optimization of execution times across browsers and platforms
• Development of reusable libraries, utilities, and framework extensions
• Application of strong Object-Oriented Programming principles including classes and objects, inheritance, polymorphism, encapsulation, and abstraction
• Design and implementation of API automation solutions for REST and SOAP services
• Validation of XML and JSON payloads through serialization and deserialization techniques
• Implementation of 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
• Integration of automation suites with CI/CD pipelines using Jenkins and GitHub Actions
• Design and implementation of 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 on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)