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

Engineering Manager – API & Integrations (100% REMOTE) #ESF8237 Full time | ExpertHiring | United States Posted on 03/26/2026 Job Information Job Opening ID: ZR_3137_JOB IT Services Salary: $132,181 - $174,478 Annually Location: Menlo Park, California, 94025 Job Description 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 What 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 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. J-18808-Ljbffr