Integration Platform Engineer

Jobylon AB; Vienna (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobylon AB is seeking an experienced enterprise Kafka specialist to manage and optimize our event-driven messaging platform across multi-environment deployments. The role focuses on administering Confluent Kafka, ensuring high availability, and implementing robust security and integration patterns.

The ideal candidate will have extensive hands-on experience with Kafka topics, connectors, and stream processing technologies, and will contribute to HA/DR strategies and CI/CD pipelines within a

Qualifications

• 5+ years of experience supporting enterprise messaging and event-driven platforms.
• 3+ years of hands-on administration experience with Confluent Kafka.
• Experience managing multi-environment Kafka deployments (Development, QA, Performance, DR, and Production).
• Experience with Kafka cluster sizing, broker management, partition strategy, replication, retention policies, and capacity planning.
• Experience in troubleshooting producer, consumer, broker, and cluster-level issues.
• Experience with Confluent Control Center, Schema Registry, Connect, ksqlDB, and stream processing technologies.
• Experience implementing high availability, disaster recovery, and multi-cluster replication strategies.
• Hands-on experience with Kafka security, including TLS, mTLS, RBAC, ACLs, encryption, and authentication mechanisms.
• Experience integrating Kafka with Kubernetes/OpenShift, cloud platforms, observability tools, and CI/CD pipelines.
• Strong understanding of event-driven architecture, data contracts, and enterprise integration patterns.
• Preferred candidates with confluent certifications

Job description

Required Experience:

• 5+ years of experience supporting enterprise messaging and event-driven platforms.


• 3+ years of hands-on administration experience with Confluent Kafka.


• Experience managing multi-environment Kafka deployments (Development, QA, Performance, DR, and Production).


• Experience with Kafka cluster sizing, broker management, partition strategy, replication, retention policies, and capacity planning.


• Experience in troubleshooting producer, consumer, broker, and cluster-level issues.


• Experience with Confluent Control Center, Schema Registry, Connect, ksqlDB, and stream processing technologies.


• Experience implementing high availability, disaster recovery, and multi-cluster replication strategies.


• Hands-on experience with Kafka security, including TLS, mTLS, RBAC, ACLs, encryption, and authentication mechanisms.


• Experience integrating Kafka with Kubernetes/OpenShift, cloud platforms, observability tools, and CI/CD pipelines.


• Strong understanding of event-driven architecture, data contracts, and enterprise integration patterns.


• Preferred candidates with confluent certifications