Senior Quality Engineer @ Sunquest Information

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, must drive an AI first sense of purpose and urgency.

Essential Functions

Designs and executes test cases, both manual and automated, through the appropriate test management tool

Ensures technical and domain accuracy of content through close collaboration with domain experts

Analyzes defects, performs root cause analysis, collaborates to resolve, and executes proactive measures to improve overall quality

• Provides leadership and guidance for team including setting and executing specific strategies and helping to create a culture that motivates others toward building best-in-class solutions

Researches and utilizes industry, domain, and technology knowledge and trends to improve the overall quality of deliverables

Reviews technical documentation for accuracy, completeness, and clarity

• Coaches/mentors other Quality Engineers

All other duties and responsibilities as assigned

Skills needed to be successful

Proven ability to utilize data, models, methods, and tools to identify, prioritize, implement, and measure quality improvements

Proficient knowledge of a variety of test automation tools/frameworks

Understanding of approaches used to identify, prioritize, and mitigate risks to reduce or eliminate potential threats to software quality

• Deep understanding of the flow of data through systems and the ability to analyze databases through RDBMS queries (SQL)

• Understanding of laboratory workflows and processes, familiarity with relevant laboratory procedures and tests

Awareness of regulatory requirements and compliance standards (US, UK, EU)

• Excellent attention to detail and follow-up

• Ability to think creatively, identify alternatives, and generate new ideas necessary to achieve a goal

• Ability to represent software workflows, architecture, entities and relationships via different visual and/or language methods

• Ability to perform root cause analysis to identify the most important contributing factor(s) to an issue

• Experience with a variety of AI based tools and the ability to use them in the design, development, and execution of test automation

• Ability to mentor fellow team members in best practices and provide technical leadership and product guidance

Required Experience & Education

• Bachelor s degree in software engineering, mathematics, or related discipline, or equivalent relevant work experience

• 6-9 years experience with software development life cycle, software testing methodologies, and quality assurance

• 3+ years experience designing, coding, executing, and maintaining test automation of complex workflows using tools such as Selenium, Playwright, SpecFlow, JMeter, UIPath, etc.

AI Skills Requirement:

Candidates must have hands on experience with AI and machine learning frameworks and demonstrate an AI first mindset when approaching software quality. The Quality Engineer is expected to support the integration and validation of AI driven features within software solutions, ensuring they are reliable, testable, and aligned with business and quality standards.

The role requires the ability to apply data driven insights to assess model behavior, identify quality risks, and validate AI enabled functionality throughout its lifecycle. Candidates should collaborate closely with development teams on AI related quality practices and are expected to mentor junior developers and quality engineers in adopting effective and responsible AI testing and quality approaches.

Preferred Experience & Education

• Knowledge of scientific data software, medical devices, or healthcare software

• Knowledge of Cloud based or mobile application testing

Supervisory Responsibilities

• None