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Niche real-time streaming, Kafka and HL7 requirements reduce qualified applicant density.
HL7 healthcare familiarity increases industry specificity, though core platform skills remain transferable.
Multiple mandatory techs (Kafka, PostgreSQL, .NET/Python, HL7) and platform experience increase filtering rigor.
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Design and implement a scalable real-time event capture and processing system with high performance.
Develop backend services/APIs using .NET or Python and/or build front-end dashboards with React for real-time monitoring.
Manage event ingestion, notification systems, dashboard development, and reliable event data storage using PostgreSQL and message brokers like Kafka or RabbitMQ.
Proven experience as a Platform Engineer, Software Engineer, or SRE focused on real-time systems.
Proficiency in at least one of .NET (C#), Python, or React development stacks.
Hands-on experience with PostgreSQL including schema design and query optimization.
Experience with message brokers such as Apache Kafka, RabbitMQ, or similar for event streaming.
Experience working in distributed systems and designing data pipelines for event streaming.
Technical ability to integrate and interpret HL7 healthcare messaging standards in event platforms.
Strong architectural understanding to build and maintain reliable, scalable monitoring platforms.