Top Remote Java Developer Jobs in Pittsburgh, PA

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.

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.

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.