IBM Confluence Kafka Engineer

Job Description Roles & Responsibilities Total Experience: 5+ years in Enterprise Integration, Middleware, or API Architecture. IBM Integration Platforms: 3+ years of hands-on experience designing and running integration flows on IBM App Connect Enterprise (ACE / IIB) OR IBM webMethods Integration (webMethods Integration Server, Enterprise Gateway, or webMethods.io). Event Streaming: 3+ years of hands-on experience building streaming pipelines with Confluent Kafka or Apache Kafka. Modernization Track Record: 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. Core 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). Ability to map complex data formats (JSON, XML, Copybooks, Flat Files) into enterprise canonical models. Experience leveraging native IBM nodes/adapters to produce and consume directly to/from Apache Kafka / Confluent topics. B. Confluent Kafka & Streaming Capabilities Strong grasp of Kafka architecture: Topic partitioning, Producer/Consumer tuning, Consumer Groups, and Offset Management. Hands-on implementation of Confluent Schema Registry (Avro/Protobuf) for enterprise data governance and backward/forward schema compatibility. Experience with Kafka Connect framework for streaming data between databases, IBM MQ, and Kafka topics. Knowledge of stream transformation using Kafka Streams or ksqlDB . C. Infrastructure, DevOps & Security Deployment experience 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 . Solid understanding of security protocols across hybrid clouds: mTLS, SASL/SCRAM, OAuth2, API Key Management, and RBAC/ACLs. Desired Candidate Profile Total Experience: 5+ years in Enterprise Integration, Middleware, or API Architecture. IBM Integration Platforms: 3+ years of hands-on experience designing and running integration flows on IBM App Connect Enterprise (ACE / IIB) OR IBM webMethods Integration (webMethods Integration Server, Enterprise Gateway, or webMethods.io). Event Streaming: 3+ years of hands-on experience building streaming pipelines with Confluent Kafka or Apache Kafka. Modernization Track Record: 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. Core 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). Ability to map complex data formats (JSON, XML, Copybooks, Flat Files) into enterprise canonical models. Experience leveraging native IBM nodes/adapters to produce and consume directly to/from Apache Kafka / Confluent topics. B. Confluent Kafka & Streaming Capabilities Strong grasp of Kafka architecture: Topic partitioning, Producer/Consumer tuning, Consumer Groups, and Offset Management. Hands-on implementation of Confluent Schema Registry (Avro/Protobuf) for enterprise data governance and backward/forward schema compatibility. Experience with Kafka Connect framework for streaming data between databases, IBM MQ, and Kafka topics. Knowledge of stream transformation using Kafka Streams or ksqlDB . C. Infrastructure, DevOps & Security Deployment experience 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 . Solid understanding of security protocols across hybrid clouds: mTLS, SASL/SCRAM, OAuth2, API Key Management, and RBAC/ACLs. Company Industry IT - Software Services Department / Functional Area IT Software Keywords IBM Confluence Kafka Engineer Get real-time job updates only on our App