IBM Confluence Kafka Engineer

Job description

Update Track History: Proven background in refactoring legacy synchronous patterns (SOAP, RPC, File Batch, IBM MQ) into asynchronous event driven flows using IBM integration tools connected to Kafka. Basic technical requirements a. IBM Integration Capabilities (App Connect or webMethods) • Deep experience authoring, deploying and maintaining integrations using IBM App Connect (ESQL, Java, Compute Nodes, REST/SOAP API flows) or IBM webMethods (IS Flow Services, Java Services, Designer, webMethods.io). • Experience in leveraging IBM native nodes/adapters to directly produce and consume from/to Apache Kafka/Confluent topics. Kafka and Streaming Capabilities • Strong understanding of Kafka architecture: thread partitioning, producer/consumer tuning, consumer groups, and offset management. • Practical implementation of Confluent Schema Registry (Avro/Protobuf) for enterprise data management and schema backward/forward compatibility. C. Infrastructure, DevOps, and Security • Experience deploying on Red Hat OpenShift, Kubernetes, or IBM Cloud Pak for Integration (CP4I). • Experience automating integration deployments using CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, ArgoCD) and Terraform/Ansible. • Strong understanding of hybrid cloud security protocols: mTLS, SASL/SCRAM, OAuth2, API Key Management, and RBAC/ACLs. At the Innovation Team, we strive for excellence in everything we do. We offer a collaborative and inclusive work environment, where innovation and creativity are encouraged. We provide opportunities for professional growth and development, and believe in employee recognition and reward Thanks for their contributions

Requirements

• Proven background in refactoring legacy synchronous patterns (SOAP, RPC, File Batch, IBM MQ) into asynchronous event driven flows using IBM integration tools connected to Kafka
• Deep experience authoring, deploying and maintaining integrations using IBM App Connect (ESQL, Java, Compute Nodes, REST/SOAP API flows) or IBM webMethods (IS Flow Services, Java Services, Designer, webMethods.io)
• Experience in leveraging IBM native nodes/adapters to directly produce and consume from/to Apache Kafka/Confluent topics
• Strong understanding of Kafka architecture: thread partitioning, producer/consumer tuning, consumer groups, and offset management
• Practical implementation of Confluent Schema Registry (Avro/Protobuf) for enterprise data management and schema backward/forward compatibility
• Experience deploying on Red Hat OpenShift, Kubernetes, or IBM Cloud Pak for Integration (CP4I)
• Experience automating integration deployments using CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, ArgoCD) and Terraform/Ansible
• Strong understanding of hybrid cloud security protocols: mTLS, SASL/SCRAM, OAuth2, API Key Management, and RBAC/ACLs

Skills