Lead Javascript Automation Test Engineer with AI & Agentic Testing

Role Overview

Responsibilities

• Lead and mentor a team of testers, offering direction and support throughout testing activities.
• Work with cross-functional teams to collect and evaluate system requirements.
• Create detailed test plans, test cases, and testing strategies.
• Organize and prioritize testing tasks to achieve efficient and comprehensive coverage.
• Build, develop, and run automation scripts using advanced testing tools.
• Report and track defects, ensuring they are properly validated and resolved.
• Establish and uphold quality standards in line with best practices.
• Build and implement API automation solutions for both REST and SOAP services.
• Verify XML and JSON payloads using serialization and deserialization methods.
• Connect automation suites to CI/CD pipelines through Jenkins and GitHub Actions.
• Lead in-sprint automation efforts, shift-left testing approaches, and Test Pyramid strategies.
• Guide team members on automation frameworks, design patterns, and quality engineering techniques.

Requirements

• 9 to 14 years of experience in test automation and quality engineering.
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Strong knowledge of authentication and authorization methods, including Basic Authentication, Bearer Tokens, OAuth, and NTLM.
• Familiarity with software design patterns such as Singleton, Factory, Decorator, Page Object Model (POM), and Page Factory.
• Experience setting coding standards, branching strategies, and version control best practices.
• Ability to configure static code analysis, quality gates, and automation reporting dashboards.
• Understanding of Definition of Ready (DoR), Definition of Done (DoD), Confirmation Testing, Regression Testing, and Change Impact Testing.
• Practical experience with LLMs including GitHub Copilot, Claude, and Cursor.
• Knowledge of Prompt Engineering, Context Window Management, Tokenization, and Model Selection Strategies.
• Experience creating and applying embeddings for semantic search use cases, such as similarity search and retrieval.
• Skill in designing AI-powered solutions for automated test case and script generation, code reviews, linting checks, and API-based automation workflows using tools like Claude, GitHub Copilot, Cursor, and OpenAI Assistants.

Nice to Have

• Experience developing multi-agent workflows and collaborative agent systems for End-to-End Testing, Automated Reporting, Failure Recovery, Fallback Handling, and Workflow Orchestration.
• Familiarity with RAG architectures and integrating LLMs with enterprise knowledge sources.
• Knowledge of Model Context Protocol concepts and frameworks, including orchestrating agent interactions, task delegation, and workflow monitoring.
• Awareness of Attention Mechanisms and Transformer-based model architectures.

Benefits

• 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.).