Position Title: Senior Lead Full-Stack Java & Cloud Developer
Location: Lansing, MI (Must reside within a 90-mile radius)
Work Arrangement: Hybrid (Onsite Wednesdays & Thursdays required)
Interview Process: 1-Round In-Person Technical Interview
< data-path-to-node="12" dir="ltr">Role Summary
Seeking a Senior Lead Full-Stack Java & Cloud Developer to provide technical leadership and hands-on application development for healthcare initiatives. This role oversees the architecture, design, and implementation of cloud-native microservices, business rules engines (eCR Rules Engine), and frontend interfaces while ensuring data integrity and security compliance.
< data-path-to-node="14" dir="ltr">Key Responsibilities
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Technical Leadership & Architecture: Lead development teams, establish technology roadmaps, ensure compliance with enterprise architecture standards, and review system designs.
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Full-Stack Development: Build robust backend services with Java 17/21, Spring Boot, and JPA, along with responsive frontends using React, Next.js, and TypeScript.
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Cloud & Infrastructure: Deploy microservices using AWS, Docker, Kubernetes (EKS), and set up automated CI/CD pipelines in Azure DevOps.
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Rules & Data Integration: Architect configurable rules engines (Drools), optimize PostgreSQL databases, and manage asynchronous messaging infrastructure.
< data-path-to-node="16" dir="ltr">Required Skills & Qualifications
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Java & Microservices: 10+ years developing enterprise systems with Java (including Java 17/21), Spring Boot, Spring Security, and Spring Data JPA.
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Frontend Engineering: 5+ years of hands-on experience using React, Next.js, TypeScript, JavaScript, HTML, and CSS.
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Cloud & DevOps: 5+ years with AWS, Docker, Kubernetes (EKS), and CI/CD pipelines via Azure DevOps.
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Database & Leadership: 10+ years in database design/SQL tuning (PostgreSQL) and technical team leadership.
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Education: Bachelor’s Degree in Computer Science or a related field.
< data-path-to-node="18" dir="ltr">Preferred Qualifications
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Experience with healthcare data standards (HL7, CDA, FHIR, eCR, ELR) and medical terminology (LOINC, SNOMED CT).
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Hands-on experience with business rules engines (Drools) and messaging queues (Kafka, Amazon SQS).
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Familiarity with AI code generation tools (e.g., Kiro AI).
