Senior JavaScript Automation Test Engineer with AI & Agentic Testing

Role Overview

Responsibilities

• Guide and support a team of testers through their testing activities.
• Work with cross-functional teams to collect and review system requirements.
• Create thorough test plans, test cases, and test strategies.
• Organize and prioritize testing tasks to achieve efficient, complete test coverage.
• Build, develop, and run automation scripts using advanced automation tools.
• Find, log, and monitor defects through to validation and resolution.
• Establish and uphold quality standards in line with best practices.
• Build and deploy API automation solutions for 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.
• Set test strategies, automation roadmaps, and quality metrics.
• Build AI-powered solutions for automated test case generation, test script creation, code reviews, and API-driven automation workflows.

Requirements

• 5-8 years working in software test automation and quality engineering.
• Strong skills in API test automation for REST and SOAP services, covering authentication methods like Basic Authentication, Bearer Tokens, OAuth, and NTLM.
• Deep knowledge of software design patterns such as Singleton, Factory, Decorator, Page Object Model (POM), and Page Factory.
• Experience integrating CI/CD and DevOps tools including Jenkins, GitHub Actions, and static code analysis tools.
• Solid grasp of test strategy concepts such as Test Pyramid, Definition of Ready (DoR), and Definition of Done (DoD).
• Working knowledge of Confirmation Testing, Regression Testing, and Change Impact Testing.
• Practical experience using Large Language Models like GitHub Copilot, Claude, and Cursor.
• Familiarity with Prompt Engineering, Context Window Management, Tokenization, and Model Selection Strategies.
• Experience with embeddings and vector databases for semantic search, similarity search, and retrieval tasks.
• Ability to design AI-driven solutions using tools like Claude, GitHub Copilot, Cursor, and OpenAI Assistants.
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Nice to Have

• Experience creating multi-agent workflows for end-to-end testing, automated reporting, failure recovery, and fallback handling.
• Familiarity with RAG architectures and connecting LLMs to enterprise knowledge sources.
• Understanding of Model Context Protocol concepts and frameworks used to orchestrate agent interactions and monitor workflows.
• Knowledge of Attention Mechanisms and Transformer-based model architectures.

We Offer

• 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.).