Lead Integration

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. Were 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, youll architect and scale Folds interoperability layer connecting diverse healthcare systems, payers, and data sources into one cohesive data fabric. Youll 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 Folds 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. 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. 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. 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.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
5-8 years
Bachelor’s degree in Computer Science, Software Engineering, Biomedical Engineering, or a related field. Proven experience as a Healthcare Integration Engineer or in a similar role within the healthcare industry. In-depth knowledge of healthcare integration standards such as HL7, FHIR, and DICOM. Experience with integration middleware and engine platforms such as Mirth, BizTalk, or Rhapsody is a plus. Familiarity with Electronic Health Records (EHRs) and Laboratory Information Systems (LIS). Strong understanding of healthcare data privacy and security regulations (e.g., HIPAA). Proficiency in programming languages (e.g., Java, JavaScript) and data transformation (XML, JSON). Excellent problem-solving skills and the ability to work effectively in a team-oriented environment. Effective communication and interpersonal skills to collaborate with cross-functional teams and healthcare professionals.