Top Remote Java Developer Jobs in Richmond, VA

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.

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.

Design, develop, and maintain backend systems and RESTful APIs using Java and Node.js (NestJS). Build scalable, event-driven microservices with Kafka, work with SQL Server/MongoDB, deploy and monitor on AWS/GCP, and containerize/orchestrate with Docker, Kubernetes, or ECS. Collaborate across teams, refactor code for performance, and follow software best practices.

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.