Job Summary

We are looking for a skilled Apache Kafka / Confluent Engineer to design, implement, and support real-time data streaming platforms in a large-scale enterprise environment. The ideal candidate will have hands-on experience with Kafka and Confluent Platform setup, configuration, and administration, along with strong expertise in distributed systems and event-driven architecture.

Key Responsibilities

Install, configure, and manage Apache Kafka and Confluent Platform environments
Design and implement high-throughput, fault-tolerant data streaming solutions
Perform cluster setup, topic configuration, partitioning, and replication strategies
Monitor and optimize Kafka cluster performance, availability, and scalability
Troubleshoot production issues and perform root cause analysis (RCA)
Manage Kafka brokers, Zookeeper/KRaft mode, and Confluent components
Implement security (SSL, SASL, ACLs) and governance best practices
Work closely with development teams to integrate Kafka-based solutions
Support production environments, including on-call rotation if needed
Develop automation scripts for environment provisioning and monitoring

Required Skills & Experience

5+ years of experience in distributed systems / middleware support
Strong hands-on experience with Apache Kafka and Confluent Platform
Proven experience in Kafka setup, configuration, and cluster management
Knowledge of Kafka architecture (brokers, topics, partitions, consumers, producers)
Experience with Linux/Unix environments and scripting (Shell, Python, or similar)
Familiarity with monitoring tools (Prometheus, Grafana, or Confluent Control Center)
Strong troubleshooting skills in production environments
Understanding of event-driven architecture and messaging systems