What you'll achieve
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.
" 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
" Leverage AI-powered development and operational tools to accelerate troubleshooting, documentation, automation, and incident resolution.
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
Desirable Requirements
" 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.