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Posted Mar 31, 2026

Software Engineering Manager #ESF7227

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Top reasons to work for our client:
  • Our client provides full-service health care and personalized support to help you age well at home and in your community.
  • Stable company with tremendous opportunity for career advancement
  • Have your contributions recognized
  • Work with an experienced and energetic team
  • Comprehensive, lucrative salary and benefits
Let's talk and discuss!
Job Type : Full Time
Location : Menlo Park, California (Remote)
Pay : Good pay and benefits!
Job Description

What you will be doing: Engineering Manager

  • Drive the delivery of production-grade APIs, integrations, and AI/ML-enabled services within the Interoperability & API Engineering team.
  • Serve as the technical anchor for a dedicated team while enabling broader organizational scaling.
  • 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.
  • Shape secure, compliant, production-grade systems that power care for vulnerable seniors.
  • Make decisions that directly affect healthcare delivery, compliance, and participant outcomes.

Experience you will need: Engineering Manager

  • Bachelor’s degree in a 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; knowledge of 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.
Our client asked me to submit 3 great people within the next few days. We work directly with the hiring manager and can arrange interviews within a few days
Ray Sanders

#INDEH123