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Tier-1 brand, mid-level cloud role, metro Bengaluru, and generalist skillset drive high competition.
Healthcare imaging standards (DICOM, HL7) and regulatory constraints limit cross-industry transferability despite cloud skills.
Explicit 4–8 years, mandatory Python/PySpark/Kubernetes and healthcare regulatory requirements increase shortlisting strictness.
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Develop and maintain cloud-native backend microservices for data ingestion from Azurion systems, HIS, RIS, and PACS into the SensingLab cloud.
Design and implement scalable, fault-tolerant data transport pipelines handling DICOM and HL7 data, leveraging the OneSpace data collection framework.
Collaborate with cross-functional teams to ensure integration aligns with platform architecture, meets regulatory and cybersecurity standards, and supports CI/CD and containerized deployment.
Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
4–8 years of experience in backend or cloud software development.
Proficiency in Python for backend microservice development, PySpark for data processing, microservices REST API design, and Kubernetes for container deployment.
Work Experience Required: 4–8 years in backend or cloud software development.
Experienced in healthcare data integration, particularly with formats like DICOM and HL7 or willingness to develop expertise in these standards.
Able to work cross-functionally within agile teams and align development with technical leadership and system engineering requirements.
Familiar with cloud infrastructure, CI/CD pipelines, data privacy regulations related to medical device software, and scalable, reliable backend system design.