Source description
About the role
Key Responsibilities
Technical Leadership & Engineering
Lead end-to-end architecture and development of APIs, microservices, and integration pipelines
Contribute directly to code, system design, and troubleshooting complex issues
Perform code reviews and uphold engineering best practices
Build scalable, cloud-native solutions using Azure, Docker, and Kubernetes
AI, Automation & MLOps
Implement MLOps practices for model deployment, monitoring, and lifecycle management
Develop proof of concepts (PoCs) to validate new technologies and AI-driven solutions
Team Leadership & Mentorship
Lead and mentor a team of engineers, fostering ownership and continuous improvement
Serve as the escalation point for technical challenges and guide solution delivery
Cross-Functional Collaboration
Partner with Product, Architecture, Cloud, and Security teams to define integration strategies
Translate complex technical concepts into clear communication for stakeholders
Security & Compliance
Ensure alignment with healthcare standards including HIPAA and PHI/PII requirements
Apply interoperability standards such as FHIR, HL7, and EDI where applicable
Qualifications
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Bachelor's degree in a related field (Master's preferred)
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8+ years of software engineering experience
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3+ years in a senior or leadership engineering role
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2+ years of hands-on experience with AI/ML or related integration frameworks
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Strong experience with Python and/or Node.js for API development
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Proficiency with Microsoft Azure ecosystem
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Experience designing REST/GraphQL APIs, microservices, and event-driven systems
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Knowledge of authentication/authorization (OAuth2, JWT, Entra ID)
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Familiarity with MLOps tools (Azure ML, MLflow, Databricks)
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Experience with healthcare interoperability standards (FHIR, HL7, EDI) strongly preferred
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Prior experience in healthcare or API-heavy environments required
More at 3B Staffing