Java Production Support Engineer at Openkyber Georgia
Job in
Tybee Island, Chatham County, Georgia, 31328, USA
Listed on 2026-06-18
Listing for:
Payfuture Technologies
Full Time
position Listed on 2026-06-18
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Unix/Linux, Data Engineering
Job Description & How to Apply Below
Java Production Support Engineer rgia
8+ years of software development experience supporting enterprise-scale systems
Job Description- Strong hands-on experience with IBM Info Sphere MDM v11.x, including MDM data models, entities, transactions, batch processing, configuration, customization, and troubleshooting
- Strong understanding of MDM concepts and IBM MDM product capabilities, with the ability to understand, maintain, and enhance an existing MDM implementation built by a third-party vendor
- 8+ years of Java / J2EE experience, including Java, JSP, and REST/SOAP-based services, with strong production troubleshooting skills
- 5+ years of experience working with Linux/Unix operating systems, including command-line usage, log analysis, and system-level troubleshooting
- Hands-on experience with Apache Kafka, including topic creation and configuration, producer and consumer development, message flow troubleshooting, and understanding of Zookeeper and Kafka KRaft concepts using strimzi operator
- Experience with batch processing using Wild Fly and Kafka
- Experience working with application servers such as Wild Fly, including application deployments, startup, configuration, health checks, and runtime issue resolution
- Experience integrating Kafka with Wild Fly-based applications and IBM MDM
- Proficiency in writing and optimizing SQL queries in Oracle and Microsoft SQL Server environments
- Strong Linux/Unix shell scripting skills (Bash), including automation and operational scripting
- Experience creating, scheduling, and maintaining CRON jobs for batch and scheduled processes
- Experience with CI/CD pipelines using Azuredevops, azure git repo, or similar tools
- Experience deploying and supporting applications in cloud and OCP containerized environments
- Familiarity with cloud platforms such as AWS and/or Azure
- Exposure to Open Shift and Kubernetes is a strong plus
- Experience with ELK / Elastic Stack for log monitoring and troubleshooting, including correlating logs across Kafka, Wild Fly, and MDM
- Experience working with data and supporting mission-critical production systems
- Ability to independently own, maintain, and support complex systems with minimal external dependency
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