Engineering Manager – Azure, AI/ML, API Engineering, Healthcare
Job Description:
• Build & Architect Design and deliver scalable APIs, microservices, and integration pipelines
• Develop cloud-native solutions in Microsoft Azure (App Services, Functions, Entra ID, API Management)
• Lead architecture for event-driven and distributed systems
• Drive AI & MLOps Innovation Implement AI/ML-enabled services and automation workflows
• Build and scale MLOps pipelines (Azure ML, MLflow, Databricks)
• Develop PoCs and bring emerging technologies into production
• Guide and mentor engineers while remaining hands-on in code and design
• Act as the escalation point for complex technical challenges
• Foster a culture of ownership, innovation, and engineering excellence
• Build systems aligned with HIPAA, PHI/PII protection, and healthcare standards
• Implement interoperability frameworks such as FHIR, HL7, and EDI
Requirements:
• 8+ years in software engineering, with 3+ years in a senior or lead capacity
• Strong hands-on experience with: Python and/or Node.js
• Azure cloud ecosystem
• API design (REST/GraphQL), microservices, and event-driven architecture
• Proven experience in AI/ML or AI integration frameworks
• Experience in healthcare or regulated environments (required)
• Familiarity with: FHIR, HL7, EDI, or healthcare interoperability
• OAuth2, JWT, Entra ID (identity & security)
• Docker, Kubernetes, and containerized systems
Benefits:
• Direct impact on patient care through modern engineering and AI
• Hands-on leadership —you won't be removed from the technology
• Work at the intersection of AI, cloud, and healthcare transformation
• Fully remote with a mission-driven, high-caliber team
Apply tot his job
Apply To this Job
• Build & Architect Design and deliver scalable APIs, microservices, and integration pipelines
• Develop cloud-native solutions in Microsoft Azure (App Services, Functions, Entra ID, API Management)
• Lead architecture for event-driven and distributed systems
• Drive AI & MLOps Innovation Implement AI/ML-enabled services and automation workflows
• Build and scale MLOps pipelines (Azure ML, MLflow, Databricks)
• Develop PoCs and bring emerging technologies into production
• Guide and mentor engineers while remaining hands-on in code and design
• Act as the escalation point for complex technical challenges
• Foster a culture of ownership, innovation, and engineering excellence
• Build systems aligned with HIPAA, PHI/PII protection, and healthcare standards
• Implement interoperability frameworks such as FHIR, HL7, and EDI
Requirements:
• 8+ years in software engineering, with 3+ years in a senior or lead capacity
• Strong hands-on experience with: Python and/or Node.js
• Azure cloud ecosystem
• API design (REST/GraphQL), microservices, and event-driven architecture
• Proven experience in AI/ML or AI integration frameworks
• Experience in healthcare or regulated environments (required)
• Familiarity with: FHIR, HL7, EDI, or healthcare interoperability
• OAuth2, JWT, Entra ID (identity & security)
• Docker, Kubernetes, and containerized systems
Benefits:
• Direct impact on patient care through modern engineering and AI
• Hands-on leadership —you won't be removed from the technology
• Work at the intersection of AI, cloud, and healthcare transformation
• Fully remote with a mission-driven, high-caliber team
Apply tot his job
Apply To this Job