We are looking for an experienced Java Developer to architect and deliver a robust, cloud-ready backend platform powering AI-enabled healthcare workflows. This role is foundational to building our data services layer and integrating cutting-edge clinical interoperability tools. You will have full ownership of designing scalable APIs, secure data pipelines, and event-driven microservices that help clinicians access and interact with life-critical health data. Your impact will directly shape our AI assistant and interoperability ecosystem.
Key responsibilities include:
Architecting, building, and maintaining high-performance Java backend services with Spring Boot, Hibernate, and modern frameworks
Designing scalable, secure RESTful APIs and event-driven microservices leveraging FHIR and openEHR healthcare data standards
Implementing data pipelines to handle ETL, real-time ingestion, and AI inference integration with large language models and knowledge graphs
Optimizing system performance, memory usage, and reliability for high-concurrency, high-availability distributed systems
Integrating external medical data sources and third-party APIs (HL7, SMART on FHIR, SNOMED CT)
Creating robust CI/CD pipelines with automated testing, containerized deployments (Docker, Kubernetes), and zero-downtime release strategies
Ensuring all code adheres to healthcare regulatory standards (HIPAA, GDPR) and is auditable, secure, and highly maintainable
Leveraging AI-powered development tools, static analysis, and code quality automation to accelerate iteration
Designing auditable data storage strategies (PostgreSQL/SQL, NoSQL) and optimizing query performance for medical workflows
Building asynchronous, message-based processing using Kafka, ActiveMQ, or comparable tools
Documenting system architecture, data models, and API contracts for open-source and enterprise consumers
Requirements
Must have:
3+ years of production Java backend development, with exposure to large-scale, distributed systems
Deep expertise in Java 11+ and popular enterprise frameworks (Spring Boot, Hibernate/JPA, Microprofile)
Strong architecture/design skills: building reliable, scalable APIs and services
Familiarity with security, access control, and cryptography best practices for healthcare data
Proficiency building and optimizing SQL and NoSQL databases
Hands-on experience with containerization (Docker) and orchestration (Kubernetes)
CI/CD mastery: Jenkins, GitHub Actions, or similar tools
Experience integrating AI/ML inference in backend workflows (REST, gRPC, or async)
Comfort working autonomously and owning end-to-end delivery
Nice to have:
Knowledge of event-driven architectures and messaging systems (Kafka, RabbitMQ, etc.)
Previous work in healthcare IT, telehealth, or regulated industries
Experience with FHIR, openEHR, HL7, or other healthcare data standards
Familiarity with cloud-native services (AWS, GCP, Azure) and infrastructure as code
Full-stack capability (Angular, React, or Vue)
Knowledge of emerging protocols (SMART, A2A, ACP) or willingness to pioneer them
Contributions to open-source Java, AI, or FHIR projects
Experience with DevOps, observability, and SRE practices
What This Role Is Not
Not a junior developer position, requires independent system architecture capability
Not traditional CRUD API work, you will build complex, interoperable, AI-driven workflow systems
Not purely backend, you’ll engineer deep integrations and intelligent data pipelines
Interview Process -
Technical Round 1
Technical Round 2
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