Description

You will design, implement, and support real-time data streaming platforms in a large-scale enterprise environment.

This role is on-site.

Responsibilities

• Install, configure, and manage Apache Kafka and Confluent Platform environments, including cluster setup, topic configuration, partitioning, and replication strategies.
• Design and implement high-throughput, fault-tolerant data streaming solutions using event-driven architecture principles.
• Monitor and optimize Kafka cluster performance, availability, and scalability; perform root cause analysis on production issues.
• Implement security (SSL, SASL, ACLs) and governance best practices across Kafka brokers and Confluent components.
• Develop automation scripts for environment provisioning and monitoring; support production environments including on-call rotation.

Required Skills

• 5+ years of experience in distributed systems or middleware support.
• Strong hands-on experience with Apache Kafka and Confluent Platform setup, configuration, and administration.
• Deep understanding of Kafka architecture: brokers, topics, partitions, consumers, and producers.
• Proficiency in Linux/Unix environments with scripting capabilities in Shell and Python.
• Experience with monitoring tools such as Prometheus, Grafana, or Confluent Control Center.
• Strong troubleshooting skills for production environments and familiarity with messaging systems.

Preferred Skills

• Exposure to cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Experience with Kafka Connect, Schema Registry, ksqlDB, or CI/CD pipelines.

Key Skills

Education

Any Graduate