Cloud engineer

Job Descriptionu00A0

In this role, you will have the opportunity to join the leading innovator in image-guided therapy solutions as a Cloud Developer for AzurionEye SensingLab proposition. You will be responsible for developing the backend microservices that collect, transport, and ingest data from the interventional lab ecosystem u2014 including Azurion systems, Hospital Information Systems (HIS), Radiology Information Systems (RIS), and PACS u2014 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.u00A0

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.u00A0

Key Areas of Responsibilityu00A0

• Design and develop cloud-native backend microservices for data collection from Azurion systems, RIS, HIS, and PACS sources.u00A0

• Implement data ingestion pipelines that handle DICOM and HL7 format data, transporting it to the SensingLab cloud infrastructure.u00A0

• Leverage and extend the OneSpace data collection framework to support SensingLab-specific data sources and flows.u00A0

• Build reliable, fault-tolerant, and scalable data transport services implement retry, error handling, and dead-letter patterns.u00A0

• Collaborate with Data Engineers to ensure ingested data conforms to required schemas and quality standards.u00A0

• Implement container-based deployment using Kubernetes contribute to CI/CD pipelines.u00A0

• Work closely with Technical Leader and System Engineer to align integration designs with overall platform architecture.u00A0

• Ensure data collection services meet cybersecurity, data privacy, and regulatory requirements for medical device software.u00A0

• Write unit, integration, and end-to-end tests for all developed services.u00A0

• Maintain technical documentation for service APIs, data flows, and deployment configurations.u00A0

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To Succeed in This Role, You Should Have the Following Skills and Experienceu00A0

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.u00A0

• 4u20138 years of experience in backend or cloud software development.u00A0

• Must Have:u00A0

• Python u2014 backend microservice developmentu00A0

• PySpark u2014 data processing at scaleu00A0

• Microservices u2014 REST API design and inter-service communicationu00A0

• Data modelling u2014 understanding of data schemas and integration patternsu00A0

• Kubernetes u2014 containerized service deployment and operationsu00A0

• Nice to Have:u00A0

• HL7 u2014 healthcare messaging standards (ADT, ORU, ORM)u00A0

• DICOM u2014 medical imaging standard for data exchangeu00A0
  DICOM Web (WADO, STOW, QIDO) u2014 web-based DICOM servicesu00A0

• SQL u2014 relational database querying and designu00A0

• AWS u2014 cloud infrastructure and managed servicesu00A0

• Experience with OneSpace or similar healthcare platform frameworksu00A0

• Experience implementing CI/CD pipelines and infrastructure-as-code.u00A0

• Familiarity with message brokers (e.g., Kafka, NATS, RabbitMQ) for event-driven data ingestion.u00A0

• Understanding of data privacy regulations and secure data handling practices in healthcare.u00A0

• Good collaboration skills in cross-functional agile teams.u00A0

• Proficiency in leveraging AI-assisted development tools to accelerate coding and testing.u00A0