Intermediate Application Software Quality Engineer

About the role

UPS is looking for an intermediate application software quality engineer, described as an automation tester with hands-on experience in AI-based testing tools and frameworks. The ideal candidate has a solid foundation in manual testing and test automation, understands software testing principles, and is interested in using artificial intelligence and machine learning to improve testing efficiency, coverage and accuracy.

Key responsibilities

• Develop and execute manual and automated test cases based on requirements, UI designs and system flows.
• Design, develop and maintain automated test frameworks for web, API and mobile applications.
• Ensure comprehensive test coverage including functional, regression, smoke and UI/UX testing.
• Implement AI-driven testing techniques such as predictive analytics, defect detection and intelligent test case generation.
• Integrate automation scripts with CI/CD pipelines using tools such as Jenkins, GitHub Actions or Azure DevOps, and use AI tools to expand automation scope and speed.
• Apply machine learning models for test optimization, self-healing scripts and defect trend analysis.
• Collaborate with developers, product owners and QA leads to ensure product quality throughout the lifecycle.
• Conduct root cause analysis and propose preventive measures for recurring issues.
• Evaluate and recommend emerging AI/ML test automation tools and methodologies.

Required profile

• 4-8 years of experience in test automation (web, API or mobile).
• Experience with AI-based testing tools.
• Good understanding of machine learning concepts and their application in testing.
• Strong analytical and problem-solving abilities, excellent communication and collaboration skills, and a curious, continuously learning mindset.

Required skills

• Selenium, Playwright, Cypress or Appium.
• Programming in Python, Java or JavaScript.
• REST API testing with Postman, RestAssured or Karate.
• CI/CD pipelines and version control (Git, Jenkins).
• Test management tools (JIRA, TestRail, Zephyr).
• Cloud platforms (AWS, Azure or GCP).
• Certification in any of the AI tools.