Engineering Manager, API & Integration Platforms

Title: Engineering Manager, API & Integration Platforms

Location: Remote in the US only

Overview: 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 teambalancing 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-performingparticularly 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

Prior experience in healthcare or API-heavy environments required

10+ 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 ID)

Familiarity with MLOps tools (Azure ML, MLflow, Databricks)

Experience with healthcare interoperability standards (FHIR, HL7, EDI) strongly preferred

Bachelor's degree in a related field (Master's preferred)

What We're Looking For

Strong technical leadership with a hands-on mindset

Experience building and scaling AI/ML-enabled systems

Deep understanding of cloud architecture and modern API ecosystems

Ability to operate in a high-compliance, healthcare-driven environment

Screening Questions - REQUIRED!

1. Do you hold a Bachelor's degree in a relevant field (e.g., Computer Science, Engineering, or related discipline)?

2. Do you have a minimum of eight (8) years of professional experience in software engineering?

3. Do you have at least three (3) years of experience in a senior engineering or team leadership role (e.g., Tech Lead, Engineering Manager, Lead Engineer)?

4. Do you have prior experience working in the healthcare domain, including interoperability or API-heavy environments? (This is a required qualification.)

5. Do you have hands-on experience with Microsoft Azure and its core services (e.g., Azure App Services, Functions, API Management, Storage, Identity/Entra ID)?

6. Do you have hands-on experience using Python and/or Node.js for API engineering and data integrations?

7. How many years of hands-on experience do you have working with AI/ML technologies or AI integration frameworks (e.g., Azure AI Foundry, AI Foundry agents, ML pipelines, LLM integrations)?

8. Which AI/ML tools or platforms have you directly worked with? (Select all that apply): Azure AI Foundry, Azure Machine Learning, MLflow, Databricks, Other AI/ML frameworks, None of the above

9. Please describe your experience designing and building APIs and distributed systems. (Include details on REST and/or GraphQL APIs, microservices, authentication/authorization, and event-driven architectures.)

Remote