[Hiring] Senior Java Test Automation Engineer with AI Expertise @EPAM Systems

Role Description

We are looking for a Senior Java Test Automation Engineer with strong Generative AI (GenAI) expertise to drive the evolution of test automation through AI-powered solutions. In this role, you will combine advanced Java engineering and test automation skills with hands-on experience in LLMs, AI-assisted testing, and agentic workflows to improve test coverage, execution efficiency, and software quality.

You will design and enhance scalable automation frameworks, integrate AI capabilities into testing processes and CI/CD pipelines, and develop intelligent solutions for:

• Test generation
• Test data creation
• Failure analysis
• Automation maintenance

You will also evaluate emerging AI technologies and collaborate with engineering teams to drive the adoption of AI across the software development lifecycle.

Qualifications

• 3+ years of experience in software engineering, test automation, QA automation, or a related software development role
• Strong hands-on experience with Java and building automated testing solutions using frameworks and tools such as JUnit, Playwright, TestNG, Selenium, REST Assured, or equivalent technologies
• Experience designing and maintaining reusable automation frameworks, applying object-oriented programming, design patterns, clean code principles, and effective test automation practices
• Practical experience applying GenAI technologies, LLM APIs, and prompting techniques to software testing, automation engineering, or software development workflows
• Hands-on experience using AI tools to accelerate test design, generate or improve automation scripts, create synthetic test data, analyze test failures, or optimize regression testing
• Understanding of agentic workflows, tool calling, LLM evaluation, and methods for assessing the quality, reliability, and limitations of AI-generated outputs
• Experience integrating automated tests into CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI, or equivalent platforms
• Knowledge of Git-based workflows, code reviews, static code analysis, debugging, and software development best practices
• Strong analytical and troubleshooting skills, ability to work independently, and effective communication skills for collaboration with distributed teams and clients
• English proficiency at an Upper-Intermediate level (B2) or higher

Requirements

• Experience building LLM-powered applications, agents, or workflows using frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies
• Knowledge of AI-powered testing tools, self-healing automation, intelligent test selection, or automated root cause analysis
• Experience with AI observability, tracing, evaluation frameworks, and monitoring tools for LLM-based applications
• Familiarity with Python or JavaScript for developing complementary automation utilities and AI integrations
• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform
• Knowledge of Docker, Kubernetes, infrastructure monitoring, and cloud-native engineering practices
• Experience with embedded systems testing, hardware-related test automation, or testbed development