Integration Engineer

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.

Clinisys has built an unrivalled reputation for deploying complex diagnostic networks and academic centres - and is the only provider to repetitively deliver to all disciplines end-to-end - tering healthier communities.

• Design, develop and support integration solutions for Clinisys products, including Win Path and CLS.

• Deliver integrations across healthcare and laboratory environments using HL7, APIs, JSON and related technologies.

• Work closely with customers to gather requirements, design solutions and implement workflows.

• Lead integration activities through design, testing, deployment and go-live.

• Act as a trusted technical advisor, providing expertise to customers and internal stakeholders.

• Troubleshoot and resolve complex integration and application issues.

• Produce technical documentation and support successful project delivery.

• Drive innovation by identifying opportunities to leverage AI, automation and process improvement within customer solutions and delivery processes.

• Experience designing and delivering integration solutions within healthcare, laboratory or complex software environments.

• Strong knowledge of HL7, APIs, web services, interface engines and integration architectures.

• Experience working with databases, messaging technologies and interoperability standards.

• Strong C# development and troubleshooting skills.

• Ability to translate customer requirements into effective technical solutions.

• Excellent communication and stakeholder management skills.

• Strong problem-solving, organisational and project delivery capabilities.

• Degree-level education or equivalent professional experience.

• Experience with in UK or Irish healthcare environments.

• Knowledge of Laboratory Information Management Systems (LIMS), pathology or diagnostic workflows.

• Experience with Clinisys products, including Win Path and CLS.

• Experience working in project-based software delivery environments.

• Knowledge of cloud, hybrid or distributed architectures.

• Understanding of AI and machine learning technologies and their practical business applications.

This role requires a working knowledge of Artificial Intelligence (AI) technologies and the ability to leverage them to improve processes and outcomes. A core understanding of AI concepts is required and must be able to demonstrate the use of AI tools in a professional setting.

Onboarding
As part of our onboarding process, all new employees will be required to attend / travel to the office on their first day of employment. This requirement is essential for onboarding activities, including the identity verification, completion of necessary documentation, receiving your IT equipment, introductions to key team members, and orientation to Clinisys policies and procedures.