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Infor

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Quality Assurance Analyst (UX Automation)

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Summary

QA Analyst at Infor testing the AI-powered Agentic Hub platform: designing and executing functional, integration, regression, and exploratory tests across web apps and APIs, developing automated test scenarios, and collaborating with engineering, product, and UX. Requires 3+ years of QA experience with web/API testing and UX automation.

Infor is seeking a QA Analyst to support testing and quality assurance efforts for the Agentic Hub platform. This role will focus on validating AI-powered applications, ensuring product quality, reliability, scalability, and exceptional user experiences. The successful candidate will collaborate closely with engineering, product, and UX teams to deliver high-quality releases.

  • Design, develop, and execute functional, integration, regression, and exploratory test cases.
  • Validate frontend and backend functionality across web applications and services.
  • Collaborate with developers to identify, troubleshoot, and resolve issues.
  • Participate in requirement reviews and provide quality-focused feedback.
  • Develop automated test scenarios where applicable.
  • Support testing of AI-powered features and intelligent user experiences.
  • Verify API integrations, workflows, and cloud-based functionality.
  • Track, document, and communicate defects throughout the development lifecycle.
  • Contribute to continuous improvement of QA processes and testing practices.

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
  • 3+ years of software quality assurance experience.
  • Strong understanding of software testing methodologies and QA processes.
  • Experience testing web-based applications and APIs.
  • Experience in UX Automation.
  • Familiarity with Agile development practices.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.

  • Experience with test automation frameworks and automation tools.
  • Exposure to AWS cloud environments.
  • Experience testing AI/GenAI-enabled applications.
  • Familiarity with performance, security, and integration testing.
  • Knowledge of CI/CD processes and quality gates.
  • Experience working with distributed global teams.

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