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Popular mid-level backend/cloud title with broad skill demands increases candidate competition.
Role requires healthcare-specific protocols (DICOM, HL7) and regulatory knowledge, limiting cross-industry transferability.
Explicit 4–8 years plus mandatory Python, PySpark, Kubernetes and healthcare compliance increases screening strictness.
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Design and develop cloud-native backend microservices to ingest and process healthcare data from medical and hospital information systems using Python and PySpark.
Build scalable, fault-tolerant data pipelines for healthcare and imaging data (DICOM, HL7) with robust error handling, monitoring, and data quality assurance.
Package and deploy services using Kubernetes and contribute to automated CI/CD processes while ensuring compliance with cybersecurity and healthcare regulations.
4–8 years of experience in backend or cloud software development.
Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
Proficiency in Python backend microservice development, PySpark for large-scale data processing, and Kubernetes for containerized deployments.
Must have experience with microservices architecture, REST API design, and data modeling for schema and integration patterns.
Experienced in healthcare data standards such as HL7 and DICOM for medical data integration and exchange.
Skilled in cloud infrastructure (preferably AWS) and implementing CI/CD pipelines with infrastructure-as-code.
Capable of working collaboratively in cross-functional agile teams aligning technical integration solutions with platform-wide architecture and compliance requirements.