Position - Platform Engineer (Real-time Monitoring & Eventing)
We are seeking a skilled and experienced Platform Engineer to design, develop, and maintain a robust real-time monitoring platform. This critical role involves building systems to capture crucial status events, generate immediate notifications, and provide insightful dashboards to ensure operational excellence and data-driven decision-making.
Key Responsibilities:
Architect & Design: Design and implement a scalable, high-performance real-time event capture and processing system.
Core Development: Develop backend services and APIs using either .NET or Python, and/or build interactive front-end dashboards with React.
Event Ingestion: Establish robust mechanisms for capturing diverse status events from various sources in real-time.
Notification Management: Implement and configure automated alert systems to notify stakeholders of critical events via preferred channels (e.g., email, PagerDuty, Slack).
Dashboard Development: Create dynamic and user-friendly dashboards to visualize real-time event streams, historical trends, and system health metrics.
Data Persistence: Design, optimize, and manage event data storage solutions, primarily utilizing PostgreSQL.
Message Broker Integration: Leverage and configure message brokers (e.g., Kafka, RabbitMQ) to ensure reliable, high-throughput event delivery and processing.
HL7 Interpretation: Apply basic understanding of HL7 to correctly interpret and integrate healthcare-related event messages where applicable.
System Reliability: Monitor the monitoring platform itself, ensuring its stability, performance, and availability.
Collaboration: Work closely with other engineering teams to understand monitoring requirements and integrate the tool effectively into existing infrastructure.
Required Qualifications:
Proven experience as a Platform Engineer, Software Engineer, or SRE with a focus on real-time systems.
Strong proficiency in at least one of the following development stacks: .NET (C#), Python, or React.
Hands-on experience with PostgreSQL, including schema design, query optimization, and database administration fundamentals.
Demonstrated experience with message brokers such as Apache Kafka, RabbitMQ, or similar technologies for event streaming.
Familiarity with the basics of HL7 messaging standards, particularly for understanding data structures and event types.
Experience building and deploying applications on cloud platforms (e.g., AWS, Azure, GCP) is a plus.
Solid understanding of system architecture, distributed systems, and data pipelines.
Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Harris Computer is a leading global provider of mission-critical software solutions operating across a wide range of industries. The company is investing heavily in AI and emerging technologies to enhance their products and create smarter solutions for customers. Harris Computer serves diverse product lines and is focused on developing AI-powered solutions that enhance products, automate processes, and deliver meaningful outcomes for customers across multiple industries.
