DevOps Engineer - Middleware​/Messaging Focus

Dev Ops Engineer - Middleware/Messaging Focus Job#: 3045836

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 Requirements6 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 / RabbitMQProficiency 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.

EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law.

Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or .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…