Software Engineering Manager #ESF7227
Please mention DailyRemote when applying
AI Summary
The manager will drive the delivery of production-grade APIs, integrations, and AI/ML-enabled services within the Interoperability & API Engineering team. Responsibilities include serving as the technical anchor, architecting solutions, mentoring engineers, and enforcing engineering excellence for secure and compliant systems.
Top reasons to work for our client:
#INDEH123
- 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
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.
#INDEH123
Automatically Apply to the Best Remote Jobs
Stop the endless job search. Our AI finds and applies to the best jobs for you.
