Messaging and Streaming Platform Engineer

SPECTRAFORCE; Round Rock (TX); On-site; USD 84,000 - 85,000; Full time

Job summary

Spectrumforce is seeking a Messaging and Streaming Platform Engineer to design, build, and support large-scale distributed messaging platforms. The role involves cloud and on-premise platforms, with a focus on Kafka and RabbitMQ, along with robust monitoring and automation using AI-assisted practices.

You will work in an agile global team, addressing performance, security, and scalability challenges while ensuring high availability of critical messaging services.

Qualifications

• 6–12 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 knowledge in configuration, troubleshooting, optimization of Kafka/RabbitMQ.
• Desirable: AI-assisted observability or intelligent automation solutions.
• Proven expertise in Kubernetes container orchestration and Docker.

Responsibilities

• Design, build and support enterprise large-scale distributed Messaging platforms, including software installation, patch installation, upgrading software, disaster recovery planning and backup and recovery.
• 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 and leverage AI-powered tools to accelerate troubleshooting and automation.

Skills

Problem solving

Team collaboration

Tools

Kafka

RabbitMQ

Kubernetes

Docker

Grafana

Prometheus

Splunk

Dynatrace

IBM MQ

Active MQ

Apache Flink

Job description

Title: Messaging and Streaming Platform Engineer

Duration: 23 Months

What you’ll achieve

• 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 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 / RabbitMQ
• Desirable RequirementsFamiliarity 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.

At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.This position's pay range is $61.00/hr - $61.46/hr.