Top Java Developer Jobs in Dayton, OH

Design, develop, test, deploy, and maintain scalable Java backend applications using Spring Boot and microservices. Build RESTful and SOAP integrations, optimize performance and reliability, implement security controls, and develop relational and NoSQL database solutions. Collaborate with architects, product owners, and frontend teams; participate in design reviews and architectural decisions; troubleshoot production issues; and uphold DevOps, CI/CD, coding, and Agile practices. Mentor junior developers and guide technical discussions across enterprise development teams.

Investigate and resolve data-quality issues in large-scale distributed systems. Design Java-based repair pipelines and idempotent correction jobs for high-volume datasets, debug existing code, use AWS services for queue-driven and batch workflows, optimize performance and concurrency, and communicate technical findings and risks to stakeholders.

Designs, implements, and runs Java Spring Boot microservices and REST APIs; leads design, CI/CD, TDD, performance tuning, security, and cross-product collaboration. Coaches teams and owns product KPIs and production support.

Design, build, and support cloud-native full stack or backend Java products using TDD, CI/CD, microservices and event-driven patterns. Collaborate with product teams, provide production support, implement monitoring and ensure secure, performant systems.

Design, build, and maintain scalable J2EE business applications. Implement features, fix bugs, participate in code reviews, automate tests, optimize performance, and produce documentation.

Design, develop, and maintain Java-based backend services and APIs for KeeperApp. Own backend components, optimize MySQL schemas/queries, ensure performance and reliability, apply secure coding practices, participate in code reviews, and collaborate with product and engineering teams to deliver features iteratively.

Design, build, and maintain scalable enterprise full-stack applications using Java, Spring Boot, microservices, and modern front-end frameworks. Implement cloud-based solutions on AWS, contribute to CI/CD and DevOps automation, optimize performance and security, and integrate AI-driven capabilities using Python and orchestration tools like LangChain and LangGraph.

Reverse-engineer TIBCO BW/MFT processes to extract business logic, then design and implement a modular Java/Spring Boot microservices replacement. Migrate protocols to Kafka/RabbitMQ/REST, translate XML transformations, ensure data persistence and consistency, and validate performance to meet existing SLAs.

Analyze legacy TIBCO BusinessWorks/MFT processes to extract business logic, design and build a decoupled Java/Spring Boot microservices platform, migrate protocols to Kafka/RabbitMQ/REST, translate XML-heavy transformations to modern formats, and validate performance and SLAs to match legacy throughput.

Design, build, and maintain Java/J2EE multi-layer applications and APIs. Collaborate with architects and DevOps to implement CI/CD, code quality, testing, and database solutions (DB2/Oracle, PL/SQL). Support cross-team delivery, resolve technical roadblocks, and drive process improvements in an asset management/financial services context.

Lead reverse-engineering of TIBCO BW/MFT processes, document business rules, and reimplement them as modular Java/Spring Boot microservices. Migrate protocols to Kafka/RabbitMQ/REST, ensure data consistency, and perform performance testing to match legacy SLAs.

Design and build Java/J2EE solutions using Spring and APIs; develop webservices, DB schemas, PL/SQL and transactional SQL in DB2/Oracle; collaborate with architects, developers and DevOps to implement CI/CD (Jenkins, uDeploy), ensure code quality (Sonar), perform code reviews and testing, resolve technical roadblocks, and drive process improvements. Requires strong communication and teamwork.

Design, develop, and modernize software by translating legacy mainframe code (COBOL/ASM/JCL/Copybooks) into Java microservices. Support UI integration, relational and hierarchical databases, batch and real-time processing, CI/CD, cloud-native and ZT/ICAM integration, and use AI/ML tools to assist translation and optimization. Work supports pre-production, testing, and integration activities.

Design, build, and improve Elasticsearch distributed-systems components for scalable, concurrent, and consistent indexing. Maintain cluster coordination for performance and resilience, push system scale limits, investigate performance and concurrency issues, support operations/support engineers, and lead projects involving multiple engineers from design through delivery.

The role involves improving Elasticsearch's distributed components, maintaining cluster coordination systems, and addressing complex issues to optimize performance and scalability.

The Staff Engineer will leverage over 5 years of experience in Java, JavaScript, and frameworks to develop robust solutions, mentor teammates, and enhance client outcomes while utilizing agile methodologies and cloud development tools.

Seeking a Staff Engineer with 5+ years in Java, focusing on mentoring teammates, solving client challenges, and conducting cloud development.

Senior Java engineer responsible for designing, developing, and maintaining scalable, secure backend systems using Java and modern frameworks. Participate in architecture, collaborate with product and security teams, write maintainable code, and adopt AI-assisted development tools while contributing to open-source efforts.

Develop and operate Java Spring Boot microservices, deploy and manage services on Kubernetes, perform JVM profiling and heap analysis, load test, diagnose memory leaks, OOMs and P99 latency spikes, remediate security vulnerabilities, and maintain GitHub-based CI/CD and branching workflows.

You will design, build, and maintain scalable applications using Java and JavaScript, collaborating across teams and managing databases.

Architect, implement, and optimize live and on-demand streaming pipelines in Wowza. Design scalable transcoding and packaging workflows, debug performance issues, integrate native code via JNI, and serve as a streaming subject-matter expert across cross-functional projects.

As a Principal Software Data Engineer, you'll lead the design, development, and optimization of large-scale data platforms and pipelines, ensuring data governance and driving innovation in a collaborative environment.