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MQ & Kafka Engineer

ByteBridge Technologies, IncUnited States🇺🇸United StatesPosted 9 Jul 2026

Why This Role Stands Out

You'll have the opportunity to shape critical messaging infrastructure at a leading tech company, leveraging your extensive MQ and Kafka expertise to drive impactful solutions. This hybrid role is perfect for a seasoned engineer who thrives on complex system integration and wants to contribute to a dynamic and innovative environment. Apply now to advance your career in a flexible and rewarding setting.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: MQ & Kafka Engineer
Experience: 8+ Years
Location: Remote

Job Description:

We are looking for an experienced MQ & Kafka Engineer with 8+ years of experience in messaging and event streaming technologies. The ideal candidate should have strong expertise in IBM MQ, Apache Kafka, system integration, and production support.

Key Responsibilities:

  • Design, implement, and support IBM MQ and Apache Kafka environments.
  • Configure, administer, and troubleshoot MQ queues, channels, and Kafka topics.
  • Monitor messaging infrastructure and ensure high availability and performance.
  • Support application integration using messaging platforms.
  • Perform incident management, root cause analysis, and issue resolution.
  • Collaborate with development, infrastructure, and support teams.
  • Maintain security, access controls, and documentation for messaging systems.

Required Skills:

  • 8+ years of experience with IBM MQ and Apache Kafka.
  • Strong knowledge of messaging architecture and event-driven systems.
  • Experience with Linux/Unix administration.
  • Familiarity with shell scripting or Python for automation.
  • Knowledge of monitoring and troubleshooting tools.
  • Excellent problem-solving and communication skills.

Preferred Skills:

  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Exposure to DevOps tools and CI/CD pipelines.
  • Understanding of container platforms such as Docker or Kubernetes.

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