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Kafka Engineer at Devsinc
Riyadh, Riyadh Region, Saudi Arabia -
Full Time

Start Date

Immediate

Expiry Date

30 May, 26

Salary

0.0

Posted On

01 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Kafka, Confluent Kafka, Cluster Setup, Cluster Maintenance, High Availability, Cross-site Replication, ZooKeeper, Schema Registry, Topic Governance, Prometheus JMX Exporter, Dynatrace Kafka Plugins, Elastic, TLS, SASL, ACLs, RBAC

Industry

IT Services and IT Consulting

Description
Devsinc is looking for a knowledgeable and enthusiastic Kafka Engineer to join our growing team in KSA. In this role, you will be responsible for designing, implementing, and managing Kafka-based data pipelines and stream processing systems. You will work with cross-functional teams to integrate Kafka with different systems and ensure data flow reliability and efficiency. Requirements: Kafka Operations: Confluent Kafka ; cluster setup and maintenance. Cluster Management: High availability, cross-site replication,ZooKeeper. Schema Registry & Topic Governance: Confluent Schema Registry or equivalent. Monitoring: Prometheus JMX Exporter, Dynatrace Kafka plugins, Elastic. Security: TLS, SASL, ACLs, RBAC. Integration & APIs: Kafka REST API, connectors. Key Responsibilities: Event-driven architecture and distributed system principles. Performance tuning and throughput optimization. Disaster recovery strategies for Kafka clusters. Governance, schema evolution, and topic lifecycle management. Operate and scale Kafka clusters reliably. Ensure HA and cross-site replication. Implement governance, topic management, and secure access. Integrate and monitor Kafka metrics/logs into observability dashboards. Ensure proper ACLs and RBAC policies for producers/consumers Respond to Kafka-related incidents and outages Experience: Minimum 4–6 years of experience required.
Responsibilities
The engineer will be responsible for designing, implementing, and managing Kafka-based data pipelines and stream processing systems, working with cross-functional teams to integrate Kafka and ensure data flow reliability.