Senior JavaScript Automation Test Engineer with AI & Agentic Testing
Role Overview
EPAM seeks a Senior JavaScript Automation Test Engineer to help ensure software system reliability and accuracy.
The role leads testing activities, advances automation frameworks, and applies generative and agentic AI to accelerate software testing and delivery.
Key Skills for This Role
Full Job Posting
Role overview
EPAM seeks a Senior JavaScript Automation Test Engineer to help ensure software system reliability and accuracy.
The role leads testing activities, advances automation frameworks, and applies generative and agentic AI to accelerate software testing and delivery.
Responsibilities
- Lead and mentor testers; collaborate cross-functionally to analyze system requirements.
- Create test plans, cases, and strategies; coordinate and prioritize test coverage.
- Build and run automation scripts; identify, track, and validate defects through resolution.
- Establish quality standards and implement REST and SOAP API automation.
- Validate XML and JSON payloads; integrate automation suites with Jenkins and GitHub Actions.
- Define testing strategies, automation roadmaps, and quality metrics.
- Develop AI-driven test case and script generation, code review, and API automation workflows.
Required qualifications
- 5–8 years in software test automation and quality engineering.
- Proficiency in REST/SOAP API automation and authentication including Basic, Bearer, OAuth, and NTLM.
- Knowledge of Singleton, Factory, Decorator, Page Object Model, and Page Factory patterns.
- Experience with Jenkins, GitHub Actions, CI/CD, DevOps integration, and static code analysis.
- Knowledge of Test Pyramid, Definition of Ready, Definition of Done, confirmation, regression, and change impact testing.
- Hands-on LLM experience with GitHub Copilot, Claude, and Cursor; knowledge of prompt engineering, context windows, tokenization, and model selection.
- Experience with embeddings and vector databases for semantic search, similarity search, and retrieval.
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Desirable qualifications
- Experience building multi-agent workflows for end-to-end testing, automated reporting, and failure recovery.
- Familiarity with RAG architectures and connecting LLMs to enterprise knowledge sources.
- Understanding of Model Context Protocol concepts and frameworks for agent orchestration and workflow monitoring.
- Knowledge of attention mechanisms and transformer-based model architectures.
Benefits and development
- Offers include health, retirement, paid time off, and flexible benefits.
- The employer describes learning, development, knowledge-sharing, Tech Talks, hackathons, and LinkedIn Learning opportunities.
- Short- and long-term relocation to an EPAM office may be possible for projects.
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