Payrate: $59.00 - $61.00/hr.
Summary: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.
Responsibilities:• 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.
Qualifications:• 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.
Pay Transparency: The typical base pay for this role across the U.S. is: $59.00 - $61.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.
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