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Job Description
We are looking for a skilled Principal Engineer to join our team! As a Sr. Software Engineer, Platform Data, you will be a key technical contributor responsible for designing, developing, and integrating data management solutions for System Integration digital platforms in medical device domains. We are seeking an experienced engineer with deep expertise in clinical data ecosystems, specifically utilizing HL7 v2 and DICOM standards. The ideal candidate will have hands-on experience across multiple technology stacks—with strong proficiency in C#, Azure Cloud Services, database architecture, and DevOps practices. In this role, you will be expected to operate as a highly capable individual contributor who can immediately drive project deliverables, solve complex technical challenges, and ensure we meet our strategic goals and schedules
Required Skills & Experience
• Strong background in object-oriented programming and strong understanding of using design patterns.
• Demonstrated proficiency and fundamental knowledge of Microsoft technologies such as .NET Core, and .NET Framework.
• Experience working with different version of HL7 v2 and Dicom technologies.
• Experience working with relational databases. NoSQL/Analytics database experience is a plus.
• Experience with API development using GRPC and HTTP/REST.
• Front end experience using HTML, Javascript, React, Angular are preferred but not required. • Experience using Visual Studio as a development environment.
• Experience with SDLC, including source control, configuration management, continuous integration pipelines.
• Understanding or experience with software security requirements and considerations. Understanding of Secure SDLC.
• Experience using high-performance application messaging solutions (Kafka, RabbitMQ, Cloud Pub/Sub) is preferred.
• Experience in development of Software as a Medical Device and related design controls.
• Experience in System Integration is a big plus.
Job ID: 150560133
Skills:
Rest Apis, Azure, Angular, Functional Programming, Architecture Design
Skills:
data storage technologies , Logging, Kafka, Spring Boot, API design, Data Modeling, Microservices, Nosql, Distributed Systems, Java, REST, metrics, Kubernetes, Ocr, observability practices, AWS cloud services, cloud-native design patterns, GRPC, ML applications, system integration patterns, semantic search, backend service architecture, event-driven architectures, distributed tracing, document classification, streaming platforms
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