Engineering Manager – API & Integrations(100% REMOTE) #ESF8237

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 advancementHave your contributions recognizedWork with an experienced and energetic teamComprehensive, lucrative salary and benefitsLet's talk and discuss!Job Type : Full TimeLocation : Menlo Park, CaliforniaPay : Great Pay, Benefits + BonusJob DescriptionWhat you will be doing:Lead end-to-end architecture, development, and delivery of APIs, microservices, and integration pipelines for internal and external healthcare systems.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.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.Lead and mentor a team of engineers.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.Experience you will need:Bachelor’s degree.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.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#INDEH123

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