Software Quality and Test Engineer - Quality Intelligence

Parexel is in the business of improving the world’s health by providing biopharmaceutical services. The Software Quality Test Engineer - Quality Intelligence will be responsible for executing and contributing to software quality assurance and testing activities across various applications, ensuring high-quality software solutions through collaboration with cross-functional teams.

Responsibilities:

• Develop and execute comprehensive test plans, test cases, and test scripts for web-based applications and APIs with minimal guidance
• Execute and oversee manual and automated test cases across functional, regression, integration, and end-to-end testing scenarios
• Log, track, and manage defects through resolution using designated test management and defect tracking tools
• Design, develop, and maintain automated test scripts using established automation frameworks
• Integrate automated tests into CI/CD pipelines and support continuous testing practices within the D&T function
• Maintain and version-control test assets and automation code in GitHub
• Apply working knowledge of data storage concepts including data lakes and data warehousing to support data quality testing activities
• Design and execute validation approaches and plans for data structures, data integrity, and data flows within assigned testing scope
• Support testing of AI-assisted features and tools by applying practical understanding of AI prompting, agents, natural language processing (NLP), and large language models (LLMs)
• Work effectively and independently with testers, developers, business analysts, product analysts, and internal customers throughout the software development and quality lifecycles
• Participate actively project planning, review, and retrospective meetings
• Communicate testing status, defect findings, and quality observations clearly and professionally in English to internal stakeholders
• Maintain accurate and traceable quality records including test cases, test results, and process documentation

Requirements:

• Education to degree level in Computer Science, Information Technology, Engineering, Data Science, or a related field required
• Solid understanding of web application and API testing concepts and techniques
• Demonstrated experience with test automation frameworks and CI/CD pipeline integration
• Working knowledge of data storage concepts including data lakes and data warehousing including system integrity validation
• Working knowledge of data structure concepts including structured data validation
• Practical understanding of AI concepts including prompting, agents, natural language processing (NLP) and large language models (LLMs)
• Experience with test management and defect tracking tools such as TestRail and Azure DevOps or comparable
• Proficiency with version control tools such as GitHub or comparable
• Familiarity with Azure DevOps and Azure DevOps Test for pipeline and test management or comparable
• Proficiency in Microsoft Office Suite for documentation and reporting
• Strong verbal and written communication skills in English
• Attention to detail and thoroughness in test documentation
• Strong analytical and problem-solving skills - enjoys solving problems
• Ability to work independently and manage assigned deliverables with minimal supervision
• Ability to collaborate effectively within cross-functional teams
• Strong organizational skills and ability to manage multiple priorities within deadlines
• Previous software testing experience in Software Quality Assurance, Testing, or a related technical role is required operating either as a Software Tester, Validation Engineer or Quality Assurance Engineer
• Demonstrated experience developing and executing test plans and test cases for web-based applications and APIs
• Hands-on experience with test automation frameworks and CI/CD pipeline integration
• Working experience with defect tracking and test management platforms, such as TestRail and Azure DevOps
• Practical experience with data validation concepts including data structures, data integrity, and data storage
• Experience with version control tools such as GitHub or comparable
• Relevant certifications in software testing or quality assurance recommended but not mandatory, such as: ISTQB Foundation or Advanced Level Certification, Agile or Scrum certifications (e.g., CSM, PSM), Azure DevOps-related certifications, or AI data-related certifications are desirable
• Familiarity with AI-assisted productivity tools such as Co-Pilot, Claude Code, Open AI Codex, etc