Engineering Manager, API & Integration Platforms

Engineering Manager

We are seeking a hands-on Engineering Manager to lead the design, development, and delivery of production-grade APIs, integrations, and AI/ML-enabled services. This role serves as the technical anchor for the API & Integration Platforms team—balancing leadership with active engineering contributions. The ideal candidate will drive architecture, mentor engineers, build proof of concepts, and ensure systems are secure, compliant, scalable, and high-performing—particularly within healthcare-focused environments.

What Makes This Role Unique

• Acts as a hands-on technical leader, not just a people manager
• Directly influences secure, compliant systems impacting real-world outcomes
• Operates at the intersection of healthcare standards, engineering rigor, and innovation

Key Responsibilities Technical Leadership & Engineering

• Lead end-to-end architecture and development of APIs, microservices, and integration pipelines
• Contribute directly to code, system design, and troubleshooting complex issues
• Perform code reviews and uphold engineering best practices
• Build scalable, cloud-native solutions using Azure, Docker, and Kubernetes

AI, Automation & MLOps

• Implement MLOps practices for model deployment, monitoring, and lifecycle management
• Develop proof of concepts (PoCs) to validate new technologies and AI-driven solutions

Team Leadership & Mentorship

• Lead and mentor a team of engineers, fostering ownership and continuous improvement
• Serve as the escalation point for technical challenges and guide solution delivery

Cross-Functional Collaboration

• Partner with Product, Architecture, Cloud, and Security teams to define integration strategies
• Translate complex technical concepts into clear communication for stakeholders

Security & Compliance

• Ensure alignment with healthcare standards including HIPAA and PHI/PII requirements
• Apply interoperability standards such as FHIR, HL7, and EDI where applicable

Qualifications

• Bachelor’s degree in a related field (Master’s preferred)
• 8+ years of software engineering experience
• 3+ years in a senior or leadership engineering role
• 2+ years of hands-on experience with AI/ML or related integration frameworks
• Strong experience with Python and/or Node.js for API development
• Proficiency with Microsoft Azure ecosystem
• Experience designing REST/GraphQL APIs, microservices, and event-driven systems
• Knowledge of authentication/authorization (OAuth2, JWT, Entra )
• Familiarity with MLOps tools (Azure ML, MLflow, Databricks)
• Experience with healthcare interoperability standards (FHIR, HL7, EDI) strongly preferred