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Engineering Manager, API & Integration Platforms

Job in Washington, District of Columbia, 20001, USA
Listing for: Anveta, Inc
Full Time position
Listed on 2026-08-05
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, Software Architect, DevOps
Job Description & How to Apply Below

Engineering Manager, API & Integration Platforms

Welbe Health is seeking a hands-on Engineering Manager to serve as the technical anchor for the API & Integration Platforms team. This unique role balances people leadership with active engineering contributions, driving the architecture of secure, compliant, and scalable AI/ML-enabled services that directly impact senior healthcare outcomes.

Required Qualifications (Must-Haves):

  • Prior experience in Healthcare or API-heavy environments.
  • 10+ years of Software Engineering experience.
  • 3+ years in a Senior or Leadership Engineering role (e.g., Tech Lead, EM, or Lead Engineer).
  • 2+ years of hands-on experience with AI/ML or related integration frameworks (e.g., Azure AI, ML pipelines, LLMs).
  • Strong proficiency in Python and/or Node.js for API development.
  • Extensive hands-on experience with the Microsoft Azure ecosystem (App Services, Functions, APIM, Entra ).
  • Experience designing REST/GraphQL APIs, microservices, and event-driven systems.
  • Deep knowledge of Healthcare Interoperability Standards (FHIR, HL7, EDI) and HIPAA compliance.
  • Bachelor’s Degree in Computer Science, Engineering, or a related field.

Key Responsibilities:

  • Technical Leadership:
    Lead end-to-end architecture and contribute directly to code, system design, and complex troubleshooting.
  • AI & MLOps:
    Implement MLOps practices for model deployment and build PoCs to validate AI-driven solutions.
  • Team Mentorship:
    Foster a culture of continuous improvement and serve as the technical escalation point for the engineering team.
  • Security & Compliance:
    Ensure all systems align with PHI/PII requirements and healthcare industry standards.
  • Collaboration:

    Partner with Product, Security, and Cloud teams to define global integration strategies.

Preferred

Skills:

  • Master’s Degree in a related field.
  • Familiarity with MLOps tools such as Azure ML, MLflow, or Databricks.
  • Experience with Docker and Kubernetes in cloud-native environments.
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