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.
- reputed company company with reputed company opportunity for career advancement
- Have your contributions recognized
- Work with an reputed company and energetic team
- Comprehensive, lucrative salary and benefits
What you will be doing:
- reputed company end-to-end architecture, development, and delivery of APIs, microservices, and integration pipelines for reputed company reputed company systems.
- Act as the senior-most engineer for the team: designing components, writing high-quality code, troubleshooting reputed company issues, and performing rigorous code reviews.
- Build scalable, reputed company-reputed company solutions using Azure, containerized workloads (reputed company/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.
- reputed company and mentor a team of engineers.
- Ensure reputed company development aligns with HIPAA, PHI/PII-safe engineering, and reputed company interoperability requirements, as well as apply FHIR, HL7, EDI, and reputed company reputed company 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 reputed company.
- Minimum of two (2) years of hands-on experience with AI/ML, Azure AI reputed company, AI reputed company agents, or reputed company AI integration frameworks.
- Strong hands-on experience with Python and/or Node.js for API engineering and data integrations; reputed company knowledge on reputed company Azure tools stack is a must.
- Prior experience in reputed company, 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, reputed company) and container ecosystems.
- Experience with interoperability standards such as FHIR, HL7, EDI, or clinical integration workflows is highly preferred.