Lead the architecture and development of cloud-native healthcare integrations connecting EHRs, claims, labs, CRMs, HIEs, and other data sources. Build FHIR APIs, HL7 listeners, webhooks, RPA workflows, and real-time exchanges using modern integration tools. Establish data quality, compliance, observability, and security practices for HIPAA and SOC2 environments. Collaborate with product, data, AI, and customer engineering teams while mentoring integration engineers and defining scalable integration standards.
Responsibilities:
Integration Lead – Healthcare Data & Automation
Location: Pune
Experience: 8+ years
Employment Type: Full-time, In-office
Domain: Healthcare Technology / Value-Based Care
About Fold Health
Fold Health is building an AI-powered operating layer for value-based care — unifying data, workflows, and intelligence across healthcare organizations.
Our platform enables seamless interoperability between EHRs, CRMs, claims systems, HIEs, and AI/analytics engines — helping providers, payers, and care teams deliver better outcomes at lower costs.
We’re redefining healthcare interoperability by combining modern APIs, FHIR-based data models, and intelligent automation (RPA + AI). Join us to build the integration fabric that powers the next generation of healthcare delivery.
Role Overview
As the Integration Lead, you’ll architect and scale Fold’s interoperability layer — connecting diverse healthcare systems, payers, and data sources into one cohesive data fabric.
You’ll lead the design and implementation of cloud-native integrations, RPA workflows, and real-time data exchanges that power patient 360s, AI-driven insights, and care coordination.
This role blends deep healthcare integration expertise with a modern automation mindset — ideal for someone who can think beyond interfaces and architect an intelligent, scalable ecosystem.
Core Responsibilities:
- Integration Architecture & Development
- Lead the design and development of high-performance, cloud-native integration pipelines across diverse healthcare systems (EHRs, claims, labs, CRM, patient engagement, wearables).
- Build and maintain FHIR-based APIs, HL7 listeners, and webhooks using tools like Mirth Connect, Airbyte, AWS Lambda, and n8n.
- Implement bidirectional data exchange with EHRs (Elation, eCW, athenahealth, Epic, Cerner, NextGen, etc.) and 3rd-party services using REST, GraphQL, and secure messaging protocols.
- Collaborate with data and AI teams to ensure integrations feed into Fold’s data fabric and AI agents.
- Automation & Workflow Integration:
- Design and deploy RPA-driven workflows (e.g., UiPath, Python/Selenium, or n8n automations) to interface with systems lacking APIs or HL7/FHIR endpoints.
- Integrate data from legacy portals, fax systems, and PDFs using OCR/NLP pipelines for ingestion into the Fold Data Fabric.
- Partner with AI and data science teams to transform unstructured data (documents, notes, scanned forms) into standardized, actionable formats.
- Data Quality, Compliance & Observability
- Establish robust data validation, transformation, and monitoring frameworks to ensure accuracy, lineage, and reliability.
- Maintain HIPAA, PHI/PII, and SOC2-compliant practices with secure credential management and audit trails.
- Implement observability using tools like Prometheus, Grafana, or Stackdriver to monitor integration performance.
- Establish robust data validation, transformation, and monitoring frameworks to ensure accuracy, lineage, and reliability.
- Collaboration & Cross-Functional Alignment
- Work closely with the Product, Data, and AI/LLM teams to translate clinical and operational requirements into technical integration workflows.
- Collaborate with customer engineering to deliver configurable integration templates that can be reused across clients.
- Work closely with the Product, Data, and AI/LLM teams to translate clinical and operational requirements into technical integration workflows.
- Scalability & Continuous Improvement
- Define integration best practices, documentation, and playbooks for the engineering org.
- Lead and mentor integration engineers to establish reusable patterns and frameworks.
- Continuously optimize cost, performance, and reliability of the integration layer.
- Define integration best practices, documentation, and playbooks for the engineering org.
Requirements
Must Have:
- 6+ years of experience in healthcare integrations, interoperability, or health data platforms.
- Deep understanding of HL7, FHIR, X12 EDI, CCD/CCDA, and related data models.
- Hands-on experience with Mirth Connect, Airbyte, AWS Lambda, or similar middleware/integration tools.
- Proficiency in Python or JavaScript for scripting, APIs, and data transformation (JSON, XML, CSV).
- Familiarity with EHR APIs and integrations (eCW, Epic, Cerner, NextGen, etc.).
- Strong knowledge of HIPAA security, OAuth2, and role-based access models.
- Proven experience designing high-volume, low-latency integrations on cloud environments (AWS or GCP).
Benefits
Why Join Us?
- Opportunity to build and scale an
AI-powered healthcare platform impacting millions of lives.
- Work with modern technologies in a
mission-driven environment.
- Collaborative and innovative culture
with growth opportunities.
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