Hudson Manpower

Full Stack Developer (Java / Spring Boot / Kafka / Kubernetes / Dynatrace)

Hudson Manpower
US Cincinnati, Ohio, United States
Hybrid 2026-06-24
Estimated salary · Cincinnati
$78k–$140k
Low
$78K
Median
$108K
High
$139K
Market in Cincinnati · BLS OEWS 2025

Job description

Position Overview The Senior Full Stack Developer will design, develop, deploy, monitor, and support enterprise-scale applications supporting distribution center and warehouse operations. This engineer will work within cloud-native, event-driven architectures utilizing Java microservices, Kafka messaging, Kubernetes infrastructure, and Dynatrace observability tooling. The role requires strong ownership mentality, operational maturity, and the ability to troubleshoot complex production environments independently. This position will collaborate closely with architecture, DevOps, QA, product, and business teams while contributing to platform resiliency, scalability, and long-term modernization efforts. Job Title Senior Full Stack Developer Location Blue Ash, Ohio (Hybrid) Experience Level 5–10+ Years Key Responsibilities Full Stack Application Development Design, build, and maintain scalable enterprise applications supporting warehouse and supply chain operations. Develop Java-based microservices using Spring Boot and Spring Cloud. Build clean, maintainable, and scalable APIs aligned with enterprise engineering standards. Contribute across frontend and backend systems while maintaining strong full stack collaboration. Kubernetes Platform Engineering (Critical Requirement) Deploy and operate applications within Kubernetes production environments. Troubleshoot: Kubernetes clusters pods services ingress controllers networking issues deployment failures Support production stability and platform resiliency initiatives. Event-Driven & Kafka Development Develop Kafka producer/consumer integrations supporting real-time operational workflows. Implement: retry handling DLQ patterns asynchronous messaging fault tolerance recovery strategies Support reliable communication between enterprise warehouse systems. Observability & Production Support Utilize Dynatrace for: monitoring tracing alerting root cause analysis performance optimization Build operational dashboards and monitoring solutions. Participate in production support and incident response activities. DevOps & CI/CD Build and support CI/CD deployment pipelines using Harness. Manage artifact lifecycle using JFrog Artifactory. Support containerized deployments and rollback strategies. Collaborate with DevOps teams on operational automation initiatives. Collaboration & Engineering Leadership Partner with Architects, QA, DevOps, Product Owners, and business stakeholders. Participate in: code reviews architecture discussions sprint planning technical documentation Mentor junior engineers and reinforce engineering best practices. Ideal Candidate Profile The ideal candidate: Possesses strong production Kubernetes troubleshooting experience. Has deep Java/Spring Boot microservices expertise. Understands distributed systems and event-driven architectures. Demonstrates operational ownership and production support maturity. Communicates effectively across technical and business teams. Thrives in fast-paced enterprise operational environments. What Success Looks Like Successful candidates will: Deliver resilient enterprise microservices. Improve operational stability of warehouse platforms. Troubleshoot production Kubernetes environments independently. Build scalable Kafka integrations supporting real-time workflows. Contribute to engineering modernization and platform reliability initiatives. Why Join The engineers work on enterprise-scale systems solving meaningful business problems using modern cloud-native technologies. We foster a highly collaborative environment where technical expertise, innovation, and leadership are valued. Our teams work directly with enterprise clients on high-impact modernization initiatives involving: distributed systems cloud-native architecture Kubernetes platforms real-time event processing enterprise observability large-scale operational systems

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