Engineering Manager (Assignment: Interoperability & API Engineering)

WelbeHealth PACE helps seniors stay in their homes and communities by providing medical care and community-based services. We believe in going the extra mile and aim to make a genuine difference in our participants’ lives. 

The Engineering Manager is a hands-on technical leader accountable for driving the delivery of production-grade APIs, integrations, and AI/ML–enabled services within the Interoperability & API Engineering team. This role mirrors the technical leadership engineering rigor serving as the technical anchor for a dedicated team while enabling broader organizational scaling. The Engineering Manager will architect solutions, mentor engineers, build proof of concepts (PoCs), enforce engineering excellence, and ensure secure, compliant, scalable, and high-performing systems aligned with healthcare and organizational standards.

This role is different because the Engineering Manager at WelbeHealth:

Directly shapes secure, compliant, production-grade systems that power care for vulnerable seniors – this role is about being the hands-on technical anchor rather than just managing delivery Makes decisions that directly affect healthcare delivery, compliance, and participant outcomes – this role sits at the intersection of healthcare standards (HIPAA, PHI/PII), cross-functional partnerships, and rapid innovation

We care about our team members. That’s why we offer:

Medical insurance coverage (Medical, Dental, Vision) Work/life balance - We mean it! 17 days of personal time off (PTO), 12 holidays observed annually, and 6 sick days 401K savings + match Comprehensive compensation package including base pay and bonus And additional benefits!

On the day-to-day, you will:

Technical Leadership & Hands-On Engineering

Lead end-to-end architecture, development, and delivery of APIs, microservices, and integration pipelines for internal and external healthcare systems, as well as act as the senior-most engineer for the team: designing components, writing high-quality code, troubleshooting complex issues, and performing rigorous code reviews Build scalable, cloud-native solutions using Azure, containerized workloads (Docker/Kubernetes), and modern integration frameworks

AI, Automation & MLOps Integration

Implement repeatable MLOps patterns for model deployment, monitoring, and lifecycle management Build prototype PoCs that validate new technologies, workflows, or AI-enabled automations before scaling to production

Team Leadership, Mentorship, & Execution

Lead and mentor a team of engineers, fostering a culture of innovation, ownership, and continuous learning, as well as step in as the escalation point for technical blockers, guiding the team toward solutions

Cross-Functional Partnership

Collaborate with Product, Architecture, Cloud, Security, and other engineering teams to define integration strategies and solution blueprints, as well as translate complex technical designs into clear communication for non-technical stakeholders

Security, Compliance & Healthcare Standards

Ensure all development aligns with HIPAA, PHI/PII-safe engineering, and healthcare interoperability requirements, as well as apply FHIR, HL7, EDI, and related healthcare interoperability patterns where applicable

Job requirements include:

Bachelor’s degree in relevant field; master’s degree preferred Minimum of eight (8) years in software engineering, with at least three (3) years in a team leader or senior engineering capacity Minimum of two (2) years of hands-on experience with AI/ML, Azure AI Foundry, AI Foundry agents, or related AI integration frameworks Strong hands-on experience with Python and/or Node.js for API engineering and data integrations; known knowledge on Microsoft Azure tools stack is a must Prior experience in healthcare, interoperability, or API-heavy environments is a must Proficiency in REST/GraphQL API design, microservices patterns, authentication/authorization (OAuth2, JWT, Entra ID), and event-driven architectures Familiarity with MLOps tools (Azure ML, MLflow, Databricks) and container ecosystems Experience with interoperability standards such as FHIR, HL7, EDI, or clinical integration workflows is highly preferred

We are seeking an Engineering Manager that ideally has successful leadership abilities, hands on with AI/ML, Azure AI foundry with prior working experience in the healthcare domain. If you’re ready to join a team that values both its participants and team members, we’d love to hear from you!