# IBM Confluence Kafka Engineer — InnovationTeam

Canonical: https://jobxdubai.com/jobs/959e3930-ibm-confluence-kafka-engineer
Location: Riyadh, Saudi Arabia
Type: full_time · Level: senior
Monthly salary: AED 19,600 to 34,300 per month (employer-stated) (UAE salaries are tax-free)
Posted: 2026-09-06
Apply: https://jobs.workable.com/view/jtzv4ohPh4qEmBpob4wwPq/ibm-confluence-kafka-engineer-in-riyadh-at-innovationteam

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## Description

- 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.

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.

## 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.

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