Skip to content

Quality Assurance Analyst

Overview
Inforinfor.comPosted 5 weeks ago
Hyderābād, Telangana, INOn-site
Quick apply
Seniority level
Mid
Employment type
Full time
Work experience
3+ years
Specialization
QA & test engineering

About the role

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.

Requirements

  • 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.

Key skills

  • QA
  • Agile
  • Test Automation
  • AWS
  • Generative AI
  • CI/CD

Quality Assurance Analyst

Department: Development

Employment Type: Full Time

Location: Hyderabad

A Typical Day in the Life Includes

  • 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.