Quality Engineer

Position Summary As a Software Quality Engineer (IC IV) and member of a multi-functional Agile team, you will identify user-centric scenarios and build & execute automation to ensure quality across our scientific and healthcare products. You will report, track, and validate issues discovered during design and development, and coach less-experienced analysts. Success requires a strong passion for quality, a customer-first mindset, problem-solving skills, and effective communication across a product organization.

Clinisys' AI Philosophy Building an

AI‑first organisation is central to Clinisys’ purpose and the impact we deliver. As a global provider of intelligent diagnostic informatics solutions, we build AI‑enabled, cloud‑based platforms to enhance diagnostic workflows across healthcare, life sciences, and public health. By applying intelligent technology thoughtfully and responsibly, we help laboratories and testing environments operate more effectively, generate meaningful insights at scale, and ultimately support healthier and safer communities. Operating across more than 30 countries, Clinisys expects all colleagues—regardless of role or function—to work confidently with AI‑enabled tools, apply digital and analytical thinking, and continuously adapt as technologies evolve. We

must drive an AI-first sense of purpose and urgency. Key Responsibilities

• Design, maintain, and execute manual and automated test cases using appropriate test management tools.
• Analyze defects, perform root-cause analysis, and collaborate with engineering to drive timely resolution and preventive measures.
• Leverage domain knowledge (scientific/healthcare) to devise thorough test coverage across end-to-end workflows and user experience.
• Participate in Scrum ceremonies (planning, reviews, retrospectives) and client feedback sessions to align quality goals with delivery timelines.
• Document clear steps to reproduce, expected vs. actual results, and traceability to requirements/user stories.
• Apply risk-based testing techniques to prioritize effort and optimize coverage within deadlines.
• Adhere to internal quality standards and processes; track effort and surface impediments proactively.
• Review technical documentation for accuracy, completeness, and clarity.
• Perform other related duties as assigned.

Required Skills

• Experience with UI automation tools: Playwright.
• Familiarity with AI-based testing tools or applying AI to improve test efficiency (automation and/or manual).
• Basic to intermediate Java knowledge for automation scripting.
• Understanding of the Software Testing Life Cycle (STLC) and defect management.
• Strong time management; ability to work independently with minimal supervision.

Good To Have (Preferred)

• Experience with UIPath tools (including test automation and workflow automation).
• Healthcare domain exposure, including awareness of HIPAA and common healthcare workflows.
• Basic to intermediate knowledge of performance testing (e.g., workload modeling, baseline validation). Soft Skills
• Strong ownership mindset and positive, collaborative attitude.
• Willingness to learn new tools and technologies, especially in AI and automation.
• Clear, concise communication and cross-functional collaboration. Experience & Education
• Bachelor’s degree in Software Engineering, Mathematics, or related field, or equivalent relevant experience.
• 2–5 years of experience across SDLC, testing methodologies, and quality assurance.
• Design, develop, and maintain automated tests using type script.
• Collaborate with development teams to understand requirements and ensure comprehensive test coverage.
• Perform database validation and write SQL queries for Microsoft SQL Server or Oracle.
• Integrate automated tests into CI/CD pipelines (e.g., Azure DevOps).
• Debug automation scripts and provide detailed defect reports.
• Use IDEs such as IntelliJ IDEA or Eclipse for development and testing.
• Hands-on with AI-driven testing tools/frameworks for automated test generation, defect prediction, and intelligent regression analysis.
• Apply ML/NLP techniques for test data creation, anomaly detection, and predictive quality assurance. Tools & Technologies (Working Knowledge)
• Playwright, Selenium WebDriver, UIPath
• Java, Cucumber (BDD)
• SQL (SQL Server/Oracle)
• Azure DevOps (Boards, Repos, Pipelines) for CI/CD integration
• IntelliJ IDEA, Eclipse
• AI-driven testing platforms/techniques Supervisory Responsibilities None We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.