VetsEZ

Test Automation Engineer (Remote Opportunity)

Charleston, SC, USPosted 1 month ago

Job Description

VetsEZ is seeking a Mid-Level QA / Automation Engineer to support the testing, validation, and quality assurance of web-based applications within the Department of Veterans Affairs (VA) environment. This role is responsible for planning, executing, and maintaining both manual and automated test efforts to ensure high-quality, reliable software delivery. The ideal candidate brings strong experience in test automation frameworks, a meticulous attention to detail, and demonstrated ability to leverage AI tools and techniques to enhance testing efficiency, coverage, and accuracy.

The candidate must reside within the continental US.

Responsibilities

  • Plan, design, and execute comprehensive test strategies for web-based applications
  • Perform functional, regression, integration, and end-to-end testing across multiple environments
  • Develop, maintain, and execute automated test scripts using industry-standard frameworks (Playwright preferred, Selenium acceptable)
  • Validate application behavior against functional and technical requirements
  • Identify, document, and track defects using Jira (XRay preferred)
  • Collaborate with developers, product owners, and cross-functional teams to ensure quality throughout the development lifecycle
  • Maintain detailed and structured test cases, ensuring traceability and consistency across releases
  • Contribute to test documentation and knowledge sharing using Confluence
  • Participate in Agile ceremonies including sprint planning, backlog grooming, and retrospectives
  • Support CI/CD pipelines by integrating automated testing into build and deployment workflows

AI-Enabled Testing Responsibilities

  • Leverage AI-assisted tools (e.g., test generation, defect prediction, code analysis) to improve test efficiency and coverage
  • Utilize AI-driven approaches for test case generation, prioritization, and maintenance
  • Apply machine learning–based validation techniques where appropriate (e.g., anomaly detection, pa...

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