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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
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Other
Industries
IT Services and IT Consulting
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