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Open nowPosted 28 days ago

IBM Confluence Kafka Engineer

Workable (global search)108,016 open roles

Where
Riyadh, Riyadh Province, Saudi Arabia
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Your applicationOpen nowIBM Confluence Kafka EngineerWorkable (global search) · Riyadh, Riyadh Province, Saudi Arabia
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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 28 days ago

Workable (global search) median: 7 days open

The posting

  • 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.

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