PlacingIT

Role Description We are seeking a hands-on Engineering Manager to lead the design, development, and delivery of production-grade APIs, integrations, and AI/ML-enabled services. This role serves as the technical anchor for the API & Integration Platforms team—balancing leadership with active engineering contributions. - The ideal candidate will drive architecture, mentor engineers, build proof of concepts, and ensure systems are secure, compliant, scalable, and high-performing—particularly within healthcare-focused environments. What Makes This Role Unique - Acts as a hands-on technical leader, not just a people manager - Directly influences secure, compliant systems impacting real-world outcomes - Operates at the intersection of healthcare standards, engineering rigor, and innovation 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 - Bachelor’s degree in a related field (Master’s preferred) - 8+ years of software engineering experience - 3+ years in a senior or leadership engineering role - 2+ years of hands-on experience with AI/ML or related integration frameworks - Strong experience with Python and/or Node.js for API development - Proficiency with Microsoft Azure ecosystem - Experience designing REST/GraphQL APIs, microservices, and event-driven systems - Knowledge of authentication/authorization (OAuth2, JWT, Entra ID) - Familiarity with MLOps tools (Azure ML, MLflow, Databricks) - Experience with healthcare interoperability standards (FHIR, HL7, EDI) strongly preferred - Prior experience in healthcare or API-heavy environments required What We’re Looking For - Strong technical leadership with a hands-on mindset - Experience building and scaling AI/ML-enabled systems - Deep understanding of cloud architecture and modern API ecosystems - Ability to operate in a high-compliance, healthcare-driven environment