Kafka Engineer

We are seeking an experienced Confluent Kafka Engineer with strong hands-on experience designing, developing, managing, and troubleshooting real-time streaming platforms. The ideal candidate must have prior experience working with telecommunications clients or telecom environments . The engineer will be responsible for building and supporting highly available, low-latency Kafka streaming pipelines integrated with telecom OSS/BSS, billing, CRM, CDR, and network-event systems .

Strong hands-on experience with Apache Kafka and Confluent Platform Experience with Kafka Producers, Consumers, Kafka Connect, and Schema Registry Experience with Kafka Streams and/or ksqlDB Strong programming experience with Java, Python, or Scala Experience with Confluent Cloud and/or Kafka deployed on Kubernetes/OpenShift Strong knowledge of AWS, Azure, or Google Cloud Platform Experience with Kafka troubleshooting, performance tuning, monitoring, and optimization Experience with SSL/TLS, SASL authentication, RBAC, and secure data streaming Strong understanding of high availability, scalability, fault tolerance, and low-latency streaming Telecommunications industry/client experience is REQUIRED Experience working with OSS/BSS systems, billing platforms, CDRs, CRM, or telecom network events Understanding of 4G/5G network data and real-time telecom data pipelines

Design, develop, and manage real-time streaming pipelines using Apache Kafka/Confluent Integrate Kafka with telecom systems including OSS/BSS, CRM, billing, and network platforms Develop and maintain Kafka producers, consumers, connectors, and streaming applications Configure and manage Kafka Connect and Schema Registry Monitor Kafka clusters and troubleshoot performance, connectivity, and reliability issues Perform Kafka performance tuning and capacity optimization Implement security using SSL/TLS, SASL, RBAC, and other Kafka security mechanisms Ensure high availability, scalability, reliability, and low latency of critical streaming environments Collaborate with application, cloud, DevOps, and telecom engineering teams Support real-time processing of network events, CDRs, billing data, and other telecom data streams

Experience with Apache Flink or Spark Streaming Knowledge of event-driven architecture and microservices Experience with Confluent Cloud Kubernetes/OpenShift experience Confluent or Kafka certifications Experience supporting large-scale production Kafka environments Candidate Requirements Telecom industry/client experience is mandatory Must be able to work ONSITE in Dallas, TX Strong communication and troubleshooting skills Experience working in large-scale enterprise environments Strong production support and problem-solving experience

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