Engineering Manager
Bounty DescriptionIndustry: Healthcare / Health ServicesJob Category: Information Technology - System DevelopmentEngineering Manager (Assignment: Interoperability & API Engineering)The client helps seniors stay in their homes and communities by providing medical care and community-based services. We believe in going the extra mile and aim to make a genuine difference in our participants' lives.The Engineering Manager is a hands-on technical leader accountable for driving the delivery of production-grade APIs, integrations, and AI/ML-enabled services within the Interoperability & API Engineering team. This role mirrors the technical leadership engineering rigor serving as the technical anchor for a dedicated team while enabling broader organizational scaling. The Engineering Manager will architect solutions, mentor engineers, build proof of concepts (PoCs), enforce engineering excellence, and ensure secure, compliant, scalable, and high-performing systems aligned with healthcare and organizational standards.This role is different because the Engineering Manager at WelbeHealth:Directly shapes secure, compliant, production-grade systems that power care for vulnerable seniors - this role is about being the hands-on technical anchor rather than just managing deliveryMakes decisions that directly affect healthcare delivery, compliance, and participant outcomes - this role sits at the intersection of healthcare standards (HIPAA, PHI/PII), cross-functional partnerships, and rapid innovationWe care about our team members. That's why we offer:Medical insurance coverage (Medical, Dental, Vision)Work/life balance - We mean it! 17 days of personal time off (PTO), 12 holidays observed annually, and 6 sick days401K savings + matchComprehensive compensation package including base pay and bonusAnd additional benefits!On the day-to-day, you will:Technical Leadership & Hands-On EngineeringLead end-to-end architecture, development, and delivery of APIs, microservices, and integration pipelines for internal and external healthcare systems, as well as act as the senior-most engineer for the team: designing components, writing high-quality code, troubleshooting complex issues, and performing rigorous code reviewsBuild scalable, cloud-native solutions using Azure, containerized workloads (Docker/Kubernetes), and modern integration frameworksAI, Automation & MLOps IntegrationImplement repeatable MLOps patterns for model deployment, monitoring, and lifecycle managementBuild prototype PoCs that validate new technologies, workflows, or AI-enabled automations before scaling to productionTeam Leadership, Mentorship, & ExecutionLead and mentor a team of engineers, fostering a culture of innovation, ownership, and continuous learning, as well as step in as the escalation point for technical blockers, guiding the team toward solutionsCross-Functional PartnershipCollaborate with Product, Architecture, Cloud, Security, and other engineering teams to define integration strategies and solution blueprints, as well as translate complex technical designs into clear communication for non-technical stakeholdersSecurity, Compliance & Healthcare StandardsEnsure all development aligns with HIPAA, PHI/PII-safe engineering, and healthcare interoperability requirements, as well as apply FHIR, HL7, EDI, and related healthcare interoperability patterns where applicableJob requirements include:Bachelor's degree in relevant field; master's degree preferredMinimum of eight (8) years in software engineering, with at least three (3) years in a team leader or senior engineering capacityMinimum of two (2) years of hands-on experience with AI/ML, Azure AI Foundry, AI Foundry agents, or related AI integration frameworksStrong hands-on experience with Python and/or Node.js for API engineering and data integrations; known knowledge on Microsoft Azure tools stack is a mustPrior experience in healthcare, interoperability, or API-heavy environments is a mustProficiency in REST/GraphQL API design, microservices patterns, authentication/authorization (OAuth2, JWT, Entra ID), and event-driven architecturesFamiliarity with MLOps tools (Azure ML, MLflow, Databricks) and container ecosystemsExperience with interoperability standards such as FHIR, HL7, EDI, or clinical integration workflows is highly preferredWe are seeking an Engineering Manager that ideally has successful leadership abilities, hands on with AI/ML, Azure AI foundry with prior working experience in the healthcare domain. If you're ready to join a team that values both its participants and team members, we'd love to hear from you!Security Clearance Required: NoVisa Candidate Considered: NoCompensationBase Salary - USD $132,181 to $174,478*** Never repost ***Full-timeBenefits - FullRelocation Assistance Available - NoCommission Compensation - NoBonus Eligible - YesOvertime Eligible - NoInterview Travel Reimbursed - NoCandidate Details7+ to 10 years experienceSeniority Level - Mid-SeniorManagement Experience Required - NoMinimum Education - Bachelor's Degree