← All Jobs
Posted Apr 12, 2026

Software Engineering Manager #ESF7227

Apply Now
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
Interested in this role?Apply on iHire