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Platform Engineer: Messaging and Streaming

Job in Round Rock, Williamson County, Texas, 78682, USA
Listing for: Apex Systems, LLC
Full Time position
Listed on 2026-11-04
Job specializations:
  • Software Development
    Unix/Linux, Disaster Recovery IT
Salary/Wage Range or Industry Benchmark: 83000 - 103000 USD Yearly USD 83000.00 103000.00 YEAR
Job Description & How to Apply Below
##

Job Description # Platform Engineer:
Messaging and Streaming Apply
** Job#: 3057517
***
* Job Description:

** The Messaging and Streaming Platform Engineer provides middleware messaging engineering, administration and system support for new and existing production RabbitMQ and Kafka environments, including performance of the following tasks:
* Software installation, patch installation, upgrades, object definition, configuration, security, system monitoring and tuning, disaster recovery planning, automation implementation and backup and recovery.
* Work independently on day-to-day monitoring and operations of cloud and legacy applications. You will be required to develop automation using AI-assisted engineering practices. Identify opportunities to leverage AI and intelligent automation to reduce manual operational effort and accelerate service delivery.
** You will:
*** Design, build and support enterprise large-scale distributed Messaging platforms, including software installation, patch installation, upgrading software, disaster, recovery planning, backup and recovery.
* Leverage AI-powered development and operational tools to accelerate troubleshooting, documentation, automation, and incident resolution.
* Identify and implement best practices to support a highly available platform
* Implement and enforce security practices for enterprise messaging platforms
* Provide Operational support for platform issues to application development teams
* Address performance and scalability challenges posed by new or changing Kafka producers and consumers.
* Work in an agile global team setting
** Essential Requirements
*** 6 to 12 years of experience in middleware Kafka messaging, application platforms management and distributed architecture/solutions
* Strong proven experience in managing RabbitMQ and Kafka for large-scale enterprise distributed systems
* Experience with monitoring and logging tools such as Grafana, Prometheus, Splunk, Dynatrace
* Deep and extensive knowledge in configuration, troubleshooting, optimization of Kafka / RabbitMQ
* Proficiency with Python, shell scripts, & configuration management tools,
** preferably Ansible
*** Practical experience using AI-powered development and engineering tools and solutions to improve development and operational productivity.
** Desirable Requirements
*** Experience in applying Generative AI /Agentic AI to infrastructure operations, platform engineering, or software development workflows.
* Familiarity with AI-assisted observability, incident management, operational analytics, or intelligent automation solutions.
* Proven expertise in Kubernetes Container Orchestration and Docker Containers.
* Experience in messaging / streaming platforms like IBM MQ, Active MQ, Apache Flink etc.  
* Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package.

Our commitment to excellence is reflected in many awards, including Clearly Rateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
** Everforth Apex uses a virtual recruiter as part of the application process. Click  here for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages.

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