Top Entry Level Java Developer Jobs in Cincinnati, OH

Develop and maintain high-performance Java applications across web, mobile, and enterprise systems. Responsibilities include designing software, integrating front-end technologies, working with Spring and Hibernate, managing relational databases, writing tests, debugging issues, and contributing to Agile/Scrum development. The role also involves using build tools, Git, cloud and DevOps technologies, coding standards, design patterns, and continuous improvement practices.

Lead full-stack workflow orchestration engineering using Camunda, Java or Python, and React. Design BPMN/DMN processes, enterprise integrations, IAM controls, resilient long-running workflows, and scalable backend services. Establish CI/CD, observability, security, testing, and operational practices while partnering with product, operations, and control teams. Drive responsible AI-assisted engineering adoption and mentor teams on secure, reliable development practices.

Develop and maintain scalable Java backend systems using Spring Boot and microservices architecture. Collaborate with customer teams, review specifications, write clean code, participate in code reviews, document solutions, and troubleshoot and optimize backend performance, reliability, and security. The role also contributes technical expertise to training next-generation AI systems, though prior AI experience is not required.

Develop and maintain scalable backend applications and services using Java and Spring Boot. Build and consume RESTful APIs, manage builds and dependencies with Maven, and use Git for source control. Troubleshoot, optimize, and support backend applications in a collaborative Agile development environment. The role requires U.S. citizenship and eligibility to pass an extensive background investigation and clearance process before project start.

Leads and mentors application engineers while designing Java and Spring Boot microservices. Oversees application modernization, VM-to-container migration, GCP and GKE deployments, Kubernetes troubleshooting, CI/CD, testing, database integration, observability, and distributed systems. Coordinates technical dependencies across a large application portfolio and collaborates with platform, DevOps, security, and architecture teams. Uses AI-assisted engineering tools to accelerate development, modernization, testing, documentation, and automation.