Cloud Engineer – Backend Microservices for Medical Imaging

About the role

Join Philips as a Cloud Engineer for the Azurion Eye Sensing Lab proposition, developing backend microservices that collect, transport, and ingest data from interventional lab ecosystems into the SensingLab cloud for analytics and AI processing. You will work within the Image Guided Therapy Systems business unit, collaborating with teams in the Netherlands, China, and India.

Key responsibilities

• Design and develop cloud‑native backend microservices for data collection from Azurion systems, RIS, HIS, and PACS sources.
• Implement data ingestion pipelines handling 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 with 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 and 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.

Required profile

• 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.

Required skills

• Python
• PySpark
• REST API design
• Data modelling
• Kubernetes
• HL7
• DICOM
• DICOM Web (WADO, STOW, QIDO)
• SQL
• AWS
• OneSpace
• CI/CD pipelines
• Infrastructure as Code
• Kafka
• NATS
• RabbitMQ