Engineering Manager – Interoperability & API Engineering

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 ofAPIs, microservices, and integration pipelines
• Architectcloud-native solutions using Microsoft Azure, Docker, and Kubernetes
• Serve as ahands-on technical leader, contributing to coding, troubleshooting, and code reviews
• ImplementAI/ML solutions and MLOps pipelines for scalable deployment and monitoring
• Buildproof 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 withHIPAA, PHI/PII, and healthcare interoperability standards
• Design and implementsecure authentication and authorization systems (OAuth2, JWT, Entra ID)
• Support integration usingFHIR, 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 withPython and/or Node.js
• Expertise inMicrosoft Azure ecosystem
• Experience inhealthcare domain (interoperability or API-driven systems)
• Hands-on experience withAI/ML or AI integration frameworks
• Strong experience withAPI development (REST/GraphQL) and microservices architecture

Required Skills

• Strong expertise inAPI engineering and distributed systems
• Experience withcloud-native architecture (Azure, containers, Kubernetes)
• Knowledge ofauthentication & authorization (OAuth2, JWT, Entra ID)
• Experience withevent-driven architectures
• Familiarity withMLOps tools (Azure ML, MLflow, Databricks)
• Strong problem-solving and system design skills
• Excellent communication and leadership abilities

Preferred / Nice-to-Have Skills

• Experience withFHIR, HL7, EDI healthcare standards
• Experience withAzure AI Foundry or AI integration frameworks
• Exposure toLLMs and AI-driven automation solutions
• Strong background inhealthcare 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 ishighly hands-on (not just managerial)
• Strong focus onhealthcare systems, compliance, and interoperability
• Opportunity to work onAI/ML-driven healthcare solutions
• Occasional travel may be required