Innovationteam·17 days ago
17 days ago
IBM Confluence Kafka Engineer
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What you'll do
- Designing and running integration flows on IBM App Connect Enterprise or IBM webMethods Integration.
- Building streaming pipelines with Confluent Kafka or Apache Kafka.
- Refactoring legacy synchronous patterns into asynchronous event-driven flows.
- Authoring, deploying, and maintaining integrations using IBM App Connect or IBM webMethods.
- Mapping complex data formats into enterprise canonical models.
- Producing and consuming directly to/from Apache Kafka / Confluent topics using native IBM nodes/adapters.
- Implementing Confluent Schema Registry for enterprise data governance.
- Streaming data between databases, IBM MQ, and Kafka topics using Kafka Connect.
- Deploying solutions on Red Hat OpenShift, Kubernetes, or IBM Cloud Pak for Integration.
- Automating integration deployments using CI/CD pipelines and Infrastructure as Code tools.
What they're looking for
- 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.
- 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.
- 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.
- Deployment experience on Red Hat OpenShift, Kubernetes, or IBM Cloud Pak for Integration (CP4I).
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
- 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.
- Solid understanding of security protocols across hybrid clouds: mTLS, SASL/SCRAM, OAuth2, API Key Management, and RBAC/ACLs.
Benefits
At InnovationTeam, 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 recognizing and rewarding our employees for their contributions.
Company
Innovationteam
Riyadh, Saudi Arabia
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