Data Streaming Platform Engineer
HybridTel Aviv, Tel Aviv, Israel
Job Summary
Operate and monitor Kafka environments across Confluent Cloud, Confluent Platform, and Kubernetes/CFK deployments, managing topics, partitions, retention, ACLs, consumer groups, and connectors. Troubleshoot production incidents, perform root-cause analysis, and improve resilience, failover, and disaster-recovery readiness while maintaining secure access and configuration consistency. Automate platform operations and provisioning using scripting, infrastructure-as-code, and CI/CD to support a major ongoing migration to the cloud. Deploy, configure, upgrade, patch, and scale platform components across high-volume, low-latency, 24/7 on-premises and cloud environments. Work with DevOps, SRE, Infrastructure, Security, Architecture, Data, and application teams to onboard workloads and continuously improve platform reliability and governance.
Required Qualifications
- 2+ years of hands-on experience with Apache Kafka
- strong knowledge of topics, partitions, replication, producers, consumers, and consumer groups
- Hands-on experience with Confluent Platform and/or Confluent Cloud
- experience with Kafka Connect and Schema Registry
- Experience supporting production systems on Linux
- Scripting and automation experience using Python, Bash, PowerShell, or similar tools
- familiarity with Git and CI/CD
- Strong ownership, troubleshooting, and communication skills
- willingness to participate in an on-call rotation
Desired Qualifications
- Experience with Microsoft Azure
- Kubernetes / Confluent for Kubernetes (CFK)
- Helm
- Terraform
- Experience with the Kafka Connect ecosystem, including Debezium plugins, SMTs, Replicator, and source/sink connectors
- Familiarity with observability, SRE practices, SLIs/SLOs, incident management, and disaster recovery
- Experience in payments, fintech, banking, or another regulated environment
- Confluent/Kafka certification
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