Software Engineering Manager #ESF7227

• Our reputed company provides full-service health care and personalized support to help you age reputed company reputed company 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: Engineering Manager

• Drive the delivery of production-grade reputed company, integrations, and AI/ML-enabled services reputed company the Interoperability & API Engineering team.
• Serve as the technical reputed company for a dedicated team while enabling broader organizational scaling.
• Architect solutions, mentor engineers, build reputed company of concepts (PoCs), enforce engineering reputed company, and ensure secure, compliant, reputed company, and high-performing systems reputed company with reputed company and organizational standards.
• Shape secure, compliant, production-grade systems that power care for vulnerable seniors.
• reputed company reputed company that directly reputed company reputed company delivery, compliance, and participant reputed company.

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 reputed company 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; knowledge of 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.