Lead Java Automation Test Engineer with AI

EPAM Systems; Hyderabad; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

EPAM Systems is seeking a Lead Java Automation Test Engineer in Hyderabad to architect and drive scalable automation. The role emphasizes Java, Selenium, API automation, and CI/CD integration with a strong focus on AI-powered testing.

You will guide framework decisions, accelerate test generation with Generative AI, and ensure maintainable, reusable automation across projects, while upholding coding standards and quality metrics.

Qualifications

• 9–14 years of experience in test automation engineering.
• Strong command of Java, Selenium, and test automation frameworks.
• Proficiency in API automation for REST and SOAP services.
• Experience integrating CI/CD (Jenkins, GitHub Actions).
• Familiar with AI-powered testing concepts and LLM tooling.
• Knowledge of OOP, design patterns, and testing architecture.
• Experience with Page Object Model and Page Factory.
• Ability to implement AI-assisted test case creation and code reviews.

Responsibilities

• Architect, build, and maintain scalable Java-based test automation frameworks.
• Develop API automation for REST and SOAP services, with XML/JSON checks.
• Integrate automation suites into CI/CD pipelines (Jenkins, GitHub Actions).
• Guide the team on framework architecture, scalability, and maintainability.
• Leverage Generative AI to accelerate test generation and reviews.
• Establish coding standards, quality gates, and reporting dashboards.
• Ensure parallel test execution across browsers and platforms.
• Create reusable libraries and utilities for automation.
• Lead code reviews and promote clean coding practices.

Skills

Java

Selenium

API automation

CI/CD integration

AI-powered testing

OOP concepts

Design patterns

Page Object Model

Page Factory

REST

SOAP

Jenkins

GitHub Actions

Static code analysis

Quality gates

Automation dashboards

Git embeddings/LLMs

AI agents

Tools

Selenium

Job description

We're on the hunt for a highly capable Lead Java Automation Test Engineer bringing solid expertise across Java automation frameworks, API testing, CI/CD integration, and cutting-edge AI-powered testing methods. The right candidate will take charge of architecting scalable automation solutions, advancing quality engineering standards, guiding team members, and harnessing Generative AI and Agentic AI capabilities to speed up software testing and delivery cycles.

Responsibilities

• Architect, build, refine, and sustain scalable test automation frameworks built on Java
• Construct dependable automation solutions using Selenium
• Guide framework architecture decisions with an eye toward scalability, maintainability, and reusability
• Roll out parallel execution approaches and fine-tune execution speed across various browsers and platforms
• Build reusable libraries, utility functions, and framework extensions
• Apply solid Object-Oriented Programming concepts, including classes, objects, inheritance, polymorphism, encapsulation, and abstraction
• Architect and build API automation solutions covering both REST and SOAP services
• Verify XML and JSON payload integrity through serialization and deserialization approaches
• Set up authentication and authorization schemes, including Basic Authentication, Bearer Tokens, OAuth, and NTLM
• Manage session handling and conduct API integration testing
• Perform code reviews and uphold clean coding practices
• Define and maintain coding conventions, branching approaches, and version control best practices
• Connect automation suites into CI/CD pipelines through Jenkins and GitHub Actions
• Architect and implement AI-powered solutions supporting automated test case creation, script generation, and code review processes

Requirements

• Between 9 and 14 years of background in test automation engineering
• Strong command of Java, Selenium, and designing test automation frameworks
• Skilled in Object-Oriented Programming principles and design patterns, such as Singleton, Factory, and Decorator
• Familiarity with Page Object Model and Page Factory design approaches
• Capability in API automation covering REST and SOAP services, including XML and JSON validation
• Strong background integrating CI/CD and DevOps practices using Jenkins and GitHub Actions
• Ability to configure static code analysis tools, quality gates, and automation reporting dashboards
• Practical experience working with Large Language Models, such as GitHub Copilot, Claude, and Cursor
• Solid understanding of Prompt Engineering, Context Window Management, and Tokenization concepts
• Working knowledge of embeddings, vector databases, and semantic search implementations
• Background working with AI agents and AI-assisted engineering tools, such as OpenAI Assistants

Nice to have

• Background constructing multi-agent and agentic workflows to support end-to-end testing and workflow coordination
• Familiarity with Retrieval-Augmented Generation architecture and its integration with enterprise knowledge repositories
• Understanding of Model Context Protocol concepts and associated frameworks
• Knowledge of Attention Mechanisms and Transformer-based model design