Location: Bangalore, Hybrid
Type: Full Time
Experience : 2 - 4 Years
About Us
XCaliber is the operating platform for healthcare and health tech organizations, enabling real-time decision-making and autonomous workflows. Our platform powers healthcare-specific copilots through three core products: an Interoperability Gateway (out-of-the-box access to Epic, athena, Elation, eCW, and more), a Healthcare Data Fabric for clean, connected data, and Agentic Workflows for automation at scale. The result: faster integrations, lower costs, and improved patient care.
We're looking for a highly motivated SDE II to join our growing team focused on building scalable healthcare data pipelines and integrations. You'll work with senior developers to build, test, and maintain modules that support data ingestion, mapping, and transformation across healthcare standards like FHIR, HL7v2, and CCDA.
What You Will Work On
- Design and develop critical components for workflow orchestration, runtime change management, and clinical data mapping to FHIR.
- Lead development of connectors including API-centric, streaming, database, and Web operator based EHR integrations.
- Implement advanced data handling features like bulk scheduling, retries, and observability hooks.
- Contribute to development of multi-tenant, secure, and scalable microservices.
- Guide junior engineers through mentorship and code reviews.
- Collaborate with stakeholders on requirements, architecture, and deployment strategies.
What We’re Looking For
- Strong proficiency in Java, Go, or Python, and knowledge of system design.
- Deep experience with FHIR, HL7v2, CCDA, and healthcare data standards.
- Proven experience building data-intensive distributed systems.
- Hands-on experience with Kafka, REST/gRPC APIs, Docker/Kubernetes, and cloud-native tools.
- Familiar with RBAC/IAM, audit logging, and security best practices for healthcare data (HIPAA, HITRUST).
- Understanding of databases and caching systems
Preffered Qualifications
Preferred Qualifications
- Experience working on data normalization, semantic flywheels, or ML/AI-enabling pipelines.
- Prior experience in startups or healthcare companies.
- Exposure to agent marketplaces and self-serve developer toolkits.