
Kafka Engineer
5 days ago
Role & responsibilities
- Design and architect scalable Kafka-based data streaming platforms to support real-time data ingestion, processing, and delivery across business-critical systems.
- Own the full lifecycle of Kafka implementations from initial design and deployment to monitoring, tuning, and support in production environments.
- Collaborate with cross-functional teams (DevOps, Data Engineering, Application Development) to integrate Kafka with microservices, databases, and big data tools (e.g., Spark, Flink, Hadoop).
- Lead Kafka cluster management activities, including capacity planning, partitioning strategies, replication, retention policies, and disaster recovery.
- Develop automated monitoring, alerting, and logging solutions to ensure observability and resilience of the Kafka ecosystem.
- Troubleshoot and resolve Kafka performance issues, message delivery failures, and consumer/producer bottlenecks.
- Ensure compliance with data governance, security, and operational best practices.
Preferred candidate profile
- Experience in enterprise-scale Kafka deployments (multi-tenant, high-throughput, real-time use cases)
- Strong understanding of distributed systems and event-driven architectures
- Familiarity with regulatory and security compliance in data streaming environments
- Ability to mentor junior engineers and lead technical initiatives across teams
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