Software Engineer

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 • Develop software solutions across multiple subsystems within our applications, including collaboration with requirements definition, prototyping, architectural design, coding, testing and deployment • Performs complex product design, systems analysis and engineering activities on applications software • The role requires effective use of modern AI-assisted development tools (such as GitHub Copilot and similar) to accelerate coding, improve quality, and enhance test coverage while maintaining strong engineering fundamentals. • Accelerate the software lifecycle by using AI coding assistants to automate boilerplate, generate unit tests, and perform multi-file refactoring. • Utilize AI to enhance code quality through real-time debugging, vulnerability identification, and the maintenance of clear, automated documentation. • Leverage AI-driven repository insights to quickly master unfamiliar codebases and streamline complex problem-solving in a fast-paced environment. • Solid understanding of how AI Agents and Agentic AI works, and their differences. • Understands how our applications operate, are structured, and how customers use them • Provides engineering support when building, deploying, configuring and supporting systems for customers • Research new technology and development tools to remain informed of current trends • Documents and demonstrate 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 • All other duties and responsibilities as assigned Skills needed to be successful • Must be AI‑literate, AI‑aware in design decisions • Clear, effective verbal and written communication skills • Good collaboration and teamwork skills • Solid knowledge of scripting and object-oriented software development principles • Functional 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 • Prompt engineering skills using AI coding assistants • Solid understanding of Agile software development methodologies • Ability to quickly and easily assimilate new product knowledge, and accurately estimate task durations and complete work projects as scheduled • Understanding of build, test, and deployment automation • Ability to work with AI agents and work on the output generated by it. Required Experience & Education o Bachelor’s degree in software engineering, computer science, or related discipline or equivalent experience o 6-9 years’ experience with software development life cycle, software testing methodologies, and quality assurance o Expert knowledge of .NET Core, Asp.Net MVC, C#, RDBMS (Oracle (preferred), SQL Server), OOPS concepts as well as multi-tiered application design and development, and HTML/DHTML o Experience in front end web technologies like React, Angular o Experience in API programming, Scripting, and Service Oriented Architecture o Experience with Microservices architecture o Experience using Copilot or any other AI tool for development. o Use GitHub CoPilot CLI to fix bugs. o Understanding of various Models available within GitHub Copilot (GPT, Sonnet, Opus) o Experience in working on enterprise web-based software systems utilizing N-tier architectures, dynamic content, highly scalable approaches, and security models/implementations.  Preferred Experience & Education

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.