Role Overview

We are looking for a skilled Confluent Kafka Support Engineer responsible for providing technical support, troubleshooting, and expert guidance for customers using Apache Kafka and the Confluent Platform. The role involves resolving production issues, optimizing system performance, and ensuring the reliability of distributed streaming platforms.

Responsibilities

Provide L2/L3 technical support for Kafka-based systems.
Troubleshoot Kafka clusters, brokers, producers, and consumers.
Diagnose and resolve performance bottlenecks, latency issues, and data inconsistencies.
Handle incidents efficiently while ensuring SLA adherence.
Support and maintain Apache Kafka clusters and Confluent Platform components, including Schema Registry, Kafka Connect, ksqlDB, and Control Center.
Assist customers with topic configurations, partitioning strategies, and replication/fault tolerance.
Conduct deep-dive investigations into system failures, analyzing logs, metrics, and traces.
Automate operational tasks using Python, Shell scripting, Ansible, and Terraform.
Develop runbooks, SOPs, and knowledge-base articles.

Requirements

5–8 years of experience working with Apache Kafka and Confluent Kafka.
Strong understanding of Kafka internals: Brokers, ZooKeeper, Partitions, Replication, and Offsets.
Experience with Kafka Connect, Schema Registry, REST Proxy, and Kafka Security.
Hands-on experience with AWS services, including EC2, IAM, CloudWatch, S3, Lambda, VPC, and Load Balancers.
Proficiency in scripting and automation using Terraform, Ansible, or similar tools.
Familiarity with DevOps practices and tools such as Prometheus, Grafana, Splunk, Datadog, and CI/CD pipelines.
Experience with containerization tools such as Docker and Kubernetes is an added advantage.