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 thorough test plans, test cases, and testing strategies.
• Organize and prioritize testing tasks to achieve efficient and comprehensive coverage.
• Build and run automation scripts through the use of advanced automation tools.
• Track, document, and report defects, confirming their validation and resolution.
• Establish and uphold quality benchmarks in line with best practices.
• Build API automation frameworks supporting REST and SOAP services.
• Verify XML and JSON payloads via serialization and deserialization methods.
• Connect automation suites to CI/CD pipelines through Jenkins and GitHub Actions.
• Champion in-sprint automation, shift-left testing approaches, and Test Pyramid principles.
• Guide team members on automation frameworks, design patterns, and quality engineering fundamentals.

Requirements

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

Nice to Have

• Background in creating multi-agent workflows and collaborative agent systems covering End-to-End Testing, Automated Reporting, Failure Recovery and Fallback Handling, and Workflow Orchestration.
• Familiarity with RAG architectures and connecting LLMs to enterprise knowledge bases.
• Grasp of Model Context Protocol concepts and frameworks, including the ability to coordinate agent interactions, delegate tasks, and monitor workflows.
• Knowledge of Attention Mechanisms and Transformer-based model structures.

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.).