Omni Inclusive
Role Summary:
* The Sr. Kafka Messaging Senior Developer will drive the design, implementation, and adoptions of real-time stream data platform that will be a key enabler for our cloud-based business-application architecture.
Responsibilities:
* Define strategy and roadmap of the NextGen "Stream Data Platform " based on Confluent Kafka * Establish best practices for implementing our SDP based on identified use cases and required integration patterns * Accelerate our adoption of the Kafka ecosystem by creating a framework for leveraging technologies such as Kafka Connect, KStreams / KSQL, Schema Registry, Apache Flink and other streaming-oriented technology * Assist in building out the DevOps strategy for hosting and managing our SDP microservice and connector infrastructure in the Azure cloud * Explore real-time, predictive analytics and machine learning on operational and business data captured on the SDP to enable new business opportunities * Mentor existing team members by imparting expert knowledge to build a high-performing team in our NextGen technology
Required Qualifications:
* Typically requires a Bachelor's degree in a Technical discipline and a minimum of 13+ years of related experience, * Seasoned messaging expert with extensive, well-rounded background in a diverse set of messaging middleware solutions (commercial, open source, in-house) with in-depth understanding of architectures of such solutions * Strong fundamentals in distributed systems design and operations * Deep understanding of different messaging paradigms (pub/sub, queuing), as well as delivery models, quality-of-service, and fault-tolerance architectures * Knowledge of messaging protocols and associated APIs * Applied experience with microservice architecture and the reactive model * Strong background in integration patterns * Is informed on developments occurring across the industry in this space * Domain experience in Supply Chain
* The Sr. Kafka Messaging Senior Developer will drive the design, implementation, and adoptions of real-time stream data platform that will be a key enabler for our cloud-based business-application architecture.
Responsibilities:
* Define strategy and roadmap of the NextGen "Stream Data Platform " based on Confluent Kafka * Establish best practices for implementing our SDP based on identified use cases and required integration patterns * Accelerate our adoption of the Kafka ecosystem by creating a framework for leveraging technologies such as Kafka Connect, KStreams / KSQL, Schema Registry, Apache Flink and other streaming-oriented technology * Assist in building out the DevOps strategy for hosting and managing our SDP microservice and connector infrastructure in the Azure cloud * Explore real-time, predictive analytics and machine learning on operational and business data captured on the SDP to enable new business opportunities * Mentor existing team members by imparting expert knowledge to build a high-performing team in our NextGen technology
Required Qualifications:
* Typically requires a Bachelor's degree in a Technical discipline and a minimum of 13+ years of related experience, * Seasoned messaging expert with extensive, well-rounded background in a diverse set of messaging middleware solutions (commercial, open source, in-house) with in-depth understanding of architectures of such solutions * Strong fundamentals in distributed systems design and operations * Deep understanding of different messaging paradigms (pub/sub, queuing), as well as delivery models, quality-of-service, and fault-tolerance architectures * Knowledge of messaging protocols and associated APIs * Applied experience with microservice architecture and the reactive model * Strong background in integration patterns * Is informed on developments occurring across the industry in this space * Domain experience in Supply Chain