Senior Java Automation Test Engineer with AI

EPAM Systems; India; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

EPAM Systems is seeking an experienced test automation engineer to design and maintain scalable automation frameworks using Java and Selenium. You will build robust automation solutions, implement parallel execution, and optimize cross-browser tests.

You will lead API automation for REST and SOAP, validate XML/JSON payloads, and integrate AI-driven approaches and LLMs into testing workflows. Familiarity with CI/CD (Jenkins, GitHub Actions) is essential.

Qualifications

• 6 to 9 years of test automation experience.
• Proficient in Java and OOP principles.
• Expertise in scalable automation frameworks and Selenium.
• API automation for REST and SOAP with XML and JSON payload validation.
• CI/CD integration with Jenkins and GitHub Actions.
• Hands-on with Large Language Models and prompt engineering.
• Knowledge of design patterns and Page Object Model.
• Familiarity with retrieval-augmented generation architectures.

Responsibilities

• Design, develop and maintain scalable test automation frameworks.
• Implement parallel execution across browsers and platforms.
• Develop reusable libraries and framework extensions.
• Create API automation for REST and SOAP services.
• Integrate automation with CI/CD pipelines (Jenkins, GitHub Actions).
• Conduct code reviews and enforce clean coding standards.

Skills

Java

Selenium

OOP concepts

API testing

CI/CD

Jenkins

GitHub Actions

Design patterns

Page Object Model

AI/LLMs

Prompt engineering

Vector databases

Tools

JUnit

Git

Job description

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. 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, code reviews and API-driven automation workflows.

Requirements

6 to 9 years of working experience in test automation. Proficiency in Java with strong Object‑Oriented Programming principles including classes and objects, inheritance, polymorphism, encapsulation and abstraction. Expertise in scalable test automation frameworks and Selenium. Skills in API test automation for REST and SOAP services with XML and JSON payload validation. Competency in software design patterns including Singleton, Factory and Decorator. Knowledge of Page Object Model and Page Factory. Background in CI/CD and DevOps integration using Jenkins and GitHub Actions with static code analysis and quality gates. 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 model selection strategies, embeddings and vector databases for semantic search applications. Capability to design and implement AI agents and AI‑assisted engineering using OpenAI Assistants, GitHub Copilot and Claude. Understanding of similarity search and retrieval mechanisms. Nice to have: Experience building agentic workflows and collaborative agent systems for end‑to‑end testing, automated reporting and workflow orchestration. Knowledge of Retrieval‑Augmented Generation architectures and integrating LLMs with enterprise knowledge sources. Understanding of Model Context Protocol concepts and frameworks. Understanding of Attention Mechanisms and Transformer‑based model architectures.