Engineering Manager – Interoperability & API Engineering


Engineering Manager - Interoperability & API Engineering

Location: Remote (US)

Position Type: Full-Time

The Engineering Manager - Interoperability & API Engineering is a hands-on technical leadership role responsible for designing, developing, and delivering secure, scalable, and compliant API-driven systems within a healthcare environment. This role combines deep technical expertise with team leadership, focusing on interoperability, AI/ML integration, and cloud-native architecture.

Key Responsibilities

  • Lead design and development of APIs, microservices, and integration pipelines
  • Architect cloud-native solutions using Microsoft Azure, Docker, and Kubernetes
  • Serve as a hands-on technical leader, contributing to coding, troubleshooting, and code reviews
  • Implement AI/ML solutions and MLOps pipelines for scalable deployment and monitoring
  • Build proof of concepts (PoCs) for new technologies and automation workflows
  • Mentor and lead engineering teams, fostering innovation and continuous improvement
  • Collaborate with cross-functional teams (Product, Security, Cloud, Architecture)
  • Ensure compliance with HIPAA, PHI/PII, and healthcare interoperability standards
  • Design and implement secure authentication and authorization systems (OAuth2, JWT, Entra ID)
  • Support integration using FHIR, HL7, EDI, and healthcare data standards

Must-Have Requirements

  • Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
  • 8+ years of software engineering experience
  • 3+ years in leadership / senior engineering role
  • Strong hands-on experience with Python and/or Node.js
  • Expertise in Microsoft Azure ecosystem
  • Experience in healthcare domain (interoperability or API-driven systems)
  • Hands-on experience with AI/ML or AI integration frameworks
  • Strong experience with API development (REST/GraphQL) and microservices architecture

Required Skills

  • Strong expertise in API engineering and distributed systems
  • Experience with cloud-native architecture (Azure, containers, Kubernetes)
  • Knowledge of authentication & authorization (OAuth2, JWT, Entra ID)
  • Experience with event-driven architectures
  • Familiarity with MLOps tools (Azure ML, MLflow, Databricks)
  • Strong problem-solving and system design skills
  • Excellent communication and leadership abilities

Preferred / Nice-to-Have Skills

  • Experience with FHIR, HL7, EDI healthcare standards
  • Experience with Azure AI Foundry or AI integration frameworks
  • Exposure to LLMs and AI-driven automation solutions
  • Strong background in healthcare interoperability systems

Core Competencies

  • Technical leadership and hands-on engineering
  • Strategic thinking and system architecture
  • Team mentoring and development
  • Cross-functional collaboration
  • Security and compliance awareness

Education

  • Bachelor's Degree (Required)
  • Master's Degree (Preferred)

Additional Notes

  • Role is highly hands-on (not just managerial)
  • Strong focus on healthcare systems, compliance, and interoperability
  • Opportunity to work on AI/ML-driven healthcare solutions
  • Occasional travel may be required