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. Essential Functions • Develops software solutions across multiple subsystems within our applications, including collaboration with requirements definition, prototyping, coding, testing and deployment • Understands how our applications operate, are structured, and how customers use them • Provides engineering support when building, deploying, configuring and supporting systems for customers • Performs systems analysis and engineering activities on applications software • Researches new technology and development tools to remain informed of current trends • Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, code comments and clearly readable code • Analyzes defects, performs root cause analysis, and collaborates to resolve • Complies with established internal quality systems and considers standards, best practices, and regulatory requirements as part of coding activities • Analyzes and makes recommendations regarding coding standards, technology improvements, development tools, best practices, and process improvement. • Participates with the engineering and operations teams to analyze and make recommendations for standardizing, scaling and enhancing our products and the services utilized to deploy/install/release those products • All other duties and responsibilities as assigned Skills needed to be successful • Hands-on use of AI coding assistants to speed up development activities such as coding, debugging, refactoring, testing, and documentation, with appropriate oversight. • Ability to apply AI tools for day-to-day development tasks, including code generation, understanding existing code, test creation, and issue resolution, with validation of outputs. • Effective use of approved AI tools to improve engineering efficiency while ensuring quality, reliability, and accountability of delivered code. • Clear, effective verbal and written communication skills • Good collaboration and teamwork skills • Ability to present ideas in a consumable manner to technical and non-technical stakeholders • Good knowledge of scripting and object-oriented software development principles • Good knowledge of relational and/or non-relational databases • Solid development skills and overall understanding of software development methodologies • Understanding of refactoring or re-engineering solutions • Thorough knowledge of design principles and patterns • Solid understanding of Agile software development methodologies Required Experience & Education • Bachelor’s degree in software engineering, computer science, or related discipline or equivalent experience • 2-4 years’ experience with software development life cycle, software testing methodologies, and quality assurance • Good knowledge of .NET, C#, JavaScript, Oracle (PL/SQL), OOPS concepts as well as multi-tiered application design and development, and HTML/DHTML • Experience in front end web technologies (React preferred) • Experience in API programming, Scripting, and Service Oriented Architecture • Experience with Microservices and modular monolith architecture • Exposure to AI-enabled software development tools such as GitHub Copilot and familiarity with agentic or automated development workflows • Hands-on experience of AI and machine learning fundamentals, along with an understanding of generative AI, large language models (LLMs), and prompt engineering techniques • Application modernization experience with containers (Docker), Kubernetes or DAPR • Experience in working on enterprise web-based software systems utilizing N-tier architectures, dynamic content, highly scalable approaches, and security models/implementations. • Knowledge of CI/CD pipeline tools such as Azure DevOps pipelines or Jenkins Preferred Experience & Education • Knowledge of scientific data software, medical devices, or healthcare software • Master’s degree in software engineering, computer science, or related discipline 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.