Senior Software Engineer

Job description Senior Software Engineer (SSE) – GLIMS Application 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. GLIMS Application Context GLIMS (General Laboratory Information Management System) is a healthcare laboratory information system used to support and manage end-to-end laboratory workflows. The application covers a broad functional scope including patient identity and encounter management, order and result management, laboratory analytical workflows, result validation, reporting, and integration with external healthcare systems and instruments. GLIMS is a highly configurable system used across different customers, countries, and laboratory environments, meaning functional behavior varies by configuration, workflows, integrations, and regulations. Operating within a complex healthcare ecosystem, GLIMS quality depends on strong functional understanding, correct handling of healthcare data, robustness across configurations, and ensuring changes do not disrupt critical laboratory processes. Job Summary The Senior Software Engineer (SSE) for the GLIMS application is a strong independent contributor, accountable for technical outcomes (quality, reliability, security, and maintainability) and for proactively surfacing risks, dependencies, and trade-offs to ensure safe delivery in a regulated healthcare environment. The SSE practices an AI-first engineering approach—using AI as a default accelerator across the SDLC (analysis, design, implementation, testing, documentation, troubleshooting, and continuous improvement) while retaining full human accountability for correctness, quality, privacy, and compliance. The SSE is responsible for the end-to-end lifecycle of complex features and improvements— from analysis and design through implementation, testing, deployment support, and ongoing maintenance. Working in a regulated healthcare context, the SSE delivers reliable, secure, maintainable software across highly configurable customer environments, collaborates closely with Product, Requirements Engineering, QA, Documentation, and Support, and helps raise engineering quality through design/code reviews, mentoring, and continuous improvement. Tasks & Responsibilities  Software development (end-to-end ownership): Independently deliver complex GLIMS features/fixes across the full lifecycle (analysis, design, implementation, unit and integration testing, and maintenance) and take responsibility for outcomes in highly configurable customer environments.  AI-first delivery: Identify opportunities where AI can improve engineering productivity and add value in GLIMS; work with Product/Requirements to assess feasibility, risk, and compliance; and use AI-assisted tools (GitHub Copilot preferred) responsibly while maintaining quality and security.  SDLC and quality-system ownership: Execute and lead work within a defined, quality-managed SDLC by producing/maintaining appropriate design and technical documentation, ensuring requirements traceability, following change control, and meeting verification/validation evidence expectations unit/integration tests, QA validation) before release. (code reviews,  AI-assisted engineering artifacts: Use AI to draft and improve engineering artifacts (e.g., technical designs, test cases, edge-case checklists, troubleshooting hypotheses, and release notes), ensuring appropriate review and validation before content is relied upon or becomes part of the controlled record.  Translate functional requirements/specifications into robust technical designs and well-structured, tested code; identify design gaps early and propose pragmatic solutions.  Perform accurate technical analysis and effort estimation; proactively com…