Why This Role Stands Out
This hybrid role offers a fantastic opportunity to grow your expertise in enterprise messaging technologies, particularly with Confluent Kafka, within a reputable company. You'll thrive here if you have a strong background in building and administering Kafka clusters and enjoy contributing to the stability and performance of critical systems. Apply today to leverage your skills in a dynamic environment with potential for broad impact.
Quick Overview
Job Description
Job title: Messaging administrator (kafka)
Location: either charlotte, NC or Plano, TX
=Must have: confluent kafka, building/installing kafka clusters, VM experience
Top Must-Haves:
Confluent Kafka (Versions 7.8, 7.9, or 8.3)
Experience building/installing Kafka clusters
VM experience, cloud experience good too (AWS/Azure)
Project Details: Description:
The Messaging Administrator (Contractor) provides operational, technical, and platform support for enterprise messaging technologies across IBM MQ, Confluent Kafka, IBM Integration Bus (IIB), and TIBCO.
This role is part of the Messaging Production Support Team and is primarily focused on IBM MQ administration, while also contributing to support for Kafka and TIBCO platforms as needed. The administrator will ensure stability, reliability, and high performance of messaging environments running across Linux Windows. Hands-on experience designing, building, and administering:
IBM MQ (primary required skill)
IBM Integration Bus (IIB)
Confluent Kafka
TIBCO Rendezvous (RV)
TIBCO EMS
Strong troubleshooting and diagnostic skills across distributed systems.
Experience supporting production environments in a 24x7 on-call rotation. Proficiency with Linux and Windows operating systems in enterprise settings.
5 years of experience. Familiarity with middleware tools and supporting technologies, including: meshIQ Navigator
Atrium Orchestrator
Dynatrace
Splunk
JIRA
Experience with scripting or programming languages such as Python or shell scripting for automation. Strong understanding of monitoring strategies, operational metrics, and performance tuning.
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