Описание
Accountabilities:
- You will build and maintain the backend infrastructure powering AI-driven healthcare workflows, ensuring that systems remain scalable, secure, observable, and resilient as the platform grows. Your responsibilities will include: Architect, develop, and maintain core backend services using Java and Spring Boot to support the platform's AI-powered capabilities.
- Design and implement monitoring, alerting, and observability infrastructure using Prometheus and Grafana to maintain visibility into system health and performance.
- Configure and optimize AWS infrastructure, including auto-scaling policies and services such as EC2, ECS, and EKS, balancing reliability, performance, and cost.
- Build distributed, event-driven systems using message queues and streaming platforms such as Amazon SQS, Apache Kafka, and Amazon Kinesis to support high-volume asynchronous workloads.
- Implement data reliability strategies, including redundancy, circuit breakers, retries, graceful failure handling, and disaster recovery procedures.
- Design and improve large language model (LLM) integration pipelines, covering prompt engineering, usage monitoring, and output quality assurance.
- Establish robust security practices using Spring Security and role-based access control (RBAC), ensuring compliance with HIPAA and applicable healthcare data protection requirements.
- Model complex clinical and operational workflows and translate business and domain requirements into well-structured,
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