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Kafka Admin

Infosys · HYDERABAD
Posted July 2, 2026 via Infosys

We are seeking a skilled and motivated Kafka Administrator to manage, maintain, and optimize our Apache Kafka clusters. The ideal candidate will have hands-on experience in deploying, configuring, and monitoring Kafka environments, ensuring high availability, reliability, and performance of data streaming systems. You will collaborate with development, DevOps, and infrastructure teams to support real-time data pipelines and streaming applications.

Install, configure, and manage Apache Kafka clusters in production and non-production environments

Monitor Kafka cluster health, performance, and capacity using tools such as Prometheus, Grafana, or similar

Perform cluster tuning and optimization to ensure high throughput and low latency

Manage Kafka topics, partitions, brokers, replication, and retention policies

Implement and maintain data security, including authentication (SASL), authorization (ACLs), and encryption (SSL/TLS)

Troubleshoot and resolve Kafka-related issues, including broker failures, consumer lag, and data inconsistencies

Automate routine tasks using scripting (Shell, Python, etc.) and configuration management tools

Work closely with development teams to design scalable and fault-tolerant data streaming solutions

Perform upgrades, patching, and maintenance with minimal downtime

Ensure backup and disaster recovery mechanisms for Kafka clusters

Maintain documentation for configurations, processes, and troubleshooting guides

2–5 years of experience working with Apache Kafka administration/support

Strong understanding of distributed systems and messaging architectures

Hands-on experience with Kafka ecosystem tools (Zookeeper/KRaft, Kafka Connect, Kafka Streams)

Experience with monitoring tools such as Prometheus, Grafana, or ELK stack

Knowledge of Linux/Unix systems administration

Familiarity with cloud platforms like AWS, Azure, or GCP

Experience with containerization and orchestration tools (Docker, Kubernetes) is a plus

Understanding of data pipelines, ETL processes, and streaming concepts

Strong troubleshooting and analytical skills

Good scripting knowledge (Bash, Python, or similar)

Bachelor’s degree in Computer Science, Information Technology, or a related field
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