Engineering Manager

Remote • Posted 16 hours ago • Updated 16 hours ago
Full Time
No Travel Required
Remote
$60 - $65/hr
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Job Details

Skills

  • API
  • Artificial Intelligence
  • Health Care
  • HIPAA
  • HL7
  • Docker
  • Databricks
  • Machine Learning Operations (ML Ops)
  • Python
  • OAuth
  • SAFE
  • Microsoft Azure
  • Machine Learning (ML)
  • Kubernetes
  • Microservices

Summary

Job Description :

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.

•         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

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

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10528602
  • Position Id: 8940744
  • Posted 16 hours ago

Company Info

About Preferred Staffing & Recruiting, LLC

PS&R is a women-owned, owner-operated agency providing permanent and temporary staffing solutions in administration, engineering, accounting and finance, human resources, sales and marketing, customer service, and information technology. We serve Boston and the surrounding metro area. Our clients are universities, hospitals, banks, engineering and IT firms, and small to midsize businesses that range from start up to well-established.

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