Cloud engineer

Job Description 

In this role, you will have the opportunity to join the leading innovator in image-guided therapy solutions as a Cloud Developer for Azurion Eye Sensing Lab proposition. You will be responsible for developing the backend microservices that collect, transport, and ingest data from the interventional lab ecosystem — including Azurion systems, Hospital Information Systems (HIS), Radiology Information Systems (RIS), and PACS — into the SensingLab cloud for analytics and AI processing. Your work will leverage the OneSpace data collection framework to streamline data flows from lab and hospital sources to the cloud. 

You will be part of the Image Guided Therapy Systems (IGTS) business unit with development sites in the Netherlands, China and India. You will join the Data Analytics team within the SensingLab global R&D department. 

Key Areas of Responsibility 

• Design and develop cloud-native backend microservices for data collection from Azurion systems, RIS, HIS, and PACS sources. 

• Implement data ingestion pipelines that handle DICOM and HL7 format data, transporting it to the SensingLab cloud infrastructure. 

• Leverage and extend the OneSpace data collection framework to support SensingLab-specific data sources and flows. 

• Build reliable, fault-tolerant, and scalable data transport services; implement retry, error handling, and dead-letter patterns. 

• Collaborate with Data Engineers to ensure ingested data conforms to required schemas and quality standards. 

• Implement container-based deployment using Kubernetes; contribute to CI/CD pipelines. 

• Work closely with Technical Leader and System Engineer to align integration designs with overall platform architecture. 

• Ensure data collection services meet cybersecurity, data privacy, and regulatory requirements for medical device software. 

• Write unit, integration, and end-to-end tests for all developed services. 

• Maintain technical documentation for service APIs, data flows, and deployment configurations. 

To Succeed in This Role, You Should Have the Following Skills and Experience 

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 

• 4–8 years of experience in backend or cloud software development. 

• Must Have: 

• Python — backend microservice development 

• PySpark — data processing at scale 

• Microservices — REST API design and inter-service communication 

• Data modelling — understanding of data schemas and integration patterns 

• Kubernetes — containerized service deployment and operations 

• Nice to Have: 

• HL7 — healthcare messaging standards (ADT, ORU, ORM) 

• DICOM — medical imaging standard for data exchange 
  DICOM Web (WADO, STOW, QIDO) — web-based DICOM services 

• SQL — relational database querying and design 

• AWS — cloud infrastructure and managed services 

• Experience with OneSpace or similar healthcare platform frameworks 

• Experience implementing CI/CD pipelines and infrastructure-as-code. 

• Familiarity with message brokers (e.g., Kafka, NATS, RabbitMQ) for event-driven data ingestion. 

• Understanding of data privacy regulations and secure data handling practices in healthcare. 

• Good collaboration skills in cross-functional agile teams. 

• Proficiency in leveraging AI-assisted development tools to accelerate coding and testing.