Engineer
Posted 6 Sep 2026
Advertised as “IBM Confluence Kafka Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Contract
- Full-time
Compensation
No salary listed for this role.
Role speciality
IBM IntegrationKafka
Useful technologies
AnsibleApache KafkaArgoCDAvroConfluent KafkaConfluent Schema RegistryEnterprise GatewayESQLGitHub ActionsGitLab CIIBM App Connect EnterpriseIBM Cloud Pak for IntegrationIBM MQIBM webMethods IntegrationJavaJenkinsJSONKafka ConnectKafka StreamsksqlDBKubernetesProtobufRed Hat OpenShiftTerraformwebMethods Integration ServerwebMethods.ioXML
- 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.
Requirements
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.