[Hiring] Engineering Manager @Nexiva

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

Requirements

• Do you hold a Bachelor's degree in a relevant field (e.g., Computer Science, Engineering, or related discipline)?
• Do you have a minimum of eight (8) years of professional experience in software engineering?
• Do you have at least three (3) years of experience in a senior engineering or team leadership role (e.g., Tech Lead, Engineering Manager, Lead Engineer)?
• Do you have prior experience working in the healthcare domain, including interoperability or API-heavy environments? (This is a required qualification.)
• Do you have hands-on experience with Microsoft Azure and its core services (e.g., Azure App Services, Functions, API Management, Storage, Identity/Entra ID)?
• Do you have hands-on experience using Python and/or Node.js for API engineering and data integrations?
• How many years of hands-on experience do you have working with AI/ML technologies or AI integration frameworks (e.g., Azure AI Foundry, AI Foundry agents, ML pipelines, LLM integrations)?
• Which AI/ML tools or platforms have you directly worked with? (Select all that apply): Azure AI Foundry, Azure Machine Learning, MLflow, Databricks, Other AI/ML frameworks, None of the above
• Please describe your experience designing and building APIs and distributed systems. (Include details on REST and/or GraphQL APIs, microservices, authentication/authorization, and event-driven architectures.)