Architect and develop core backend services using Spring Boot that power our AI-driven platform
Design and implement comprehensive monitoring, alerting, and observability infrastructure using Prometheus and Grafana
Configure and manage AWS scaling policies to ensure system reliability and cost optimization
Build distributed systems leveraging message queues and streaming platforms (SQS, Kafka, Kinesis) for high-volume asynchronous workloads
Implement robust data reliability strategies including redundancy, failure handling, and disaster recovery
Design and optimize LLM integration pipelines, including prompt engineering, usage monitoring, and quality assurance
Establish security best practices using Spring Security, implement RBAC, and ensure HIPAA compliance
Model and optimize complex clinical and operational workflows, translating domain requirements into well-structured, maintainable backend processes
Make foundational technical decisions that will scale as we grow from startup to industry leader
Collaborate directly with founders and clinical teams to translate healthcare needs into scalable technical solutions
Own major product features end-to-end, from architecture to deployment

5+ years of software engineering experience
Deep expertise in Spring Boot framework and Java ecosystem for building production-grade applications
Proficiency in monitoring and observability tools, specifically Prometheus and Grafana for creating dashboards and alerts
Strong experience with AWS services including provisioning and managing auto-scaling policies, EC2, ECS/EKS
Proven expertise in architecting scalable distributed systems using message queues and streaming platforms (SQS, Kafka, Kinesis)
Experience implementing data reliability patterns including redundancy, circuit breakers, retry mechanisms, and graceful failure handling
Hands-on experience with LLM technologies including prompt engineering, usage monitoring, and quality metrics
Strong security engineering background with Spring Security, implementing RBAC, and healthcare compliance standards
Experience with process modeling and translating complex domain workflows into backend logic
Demonstrated ability to build systems that handle asynchronous workloads at scale
Experience with event-driven architectures and microservices patterns
Ability to thrive in a fast-paced startup environment
Excellent communication and collaboration abilities

Backend Engineer

Key skills