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Infosys

Posted 27 Aug 2026

Kafka Administrator

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Employment
Full time
Team
IT Operations
Posted
27 Aug 2026

About the role

Responsibilities:

  • Install, configure, and maintain Apache Kafka clusters in production and non-production environments.
  • Monitor Kafka brokers, topics, partitions, consumer groups, and cluster health.
  • Perform capacity planning, performance tuning, and resource optimisation.
  • Manage topic creation, retention policies, replication, and partition strategies.
  • Troubleshoot Kafka-related issues involving producers, consumers, brokers, and Zookeeper/KRaft.
  • Implement and manage Kafka security features, including SSL, SASL, ACLs, and encryption.
  • Perform cluster upgrades, patching, migration, and disaster recovery activities.
  • Configure and maintain Kafka Connect, Schema Registry, MirrorMaker, and Confluent components.
  • Develop automation scripts for Kafka administration and operational tasks.
  • Ensure high availability, scalability, and fault tolerance of Kafka platforms.
  • Work closely with application, DevOps, infrastructure, and cloud teams.
  • Create and maintain operational documentation, SOPs, and monitoring dashboards.
  • Provide production support and participate in on-call rotations.


Requirements:

  • Strong hands-on experience with Apache Kafka administration.
  • Knowledge of Kafka architecture, brokers, topics, partitions, replication, and consumer groups.
  • Experience with Kafka Connect, Schema Registry, and Kafka Streams.
  • Strong understanding of Linux/Unix administration.
  • Experience with monitoring tools such as Prometheus, Grafana, ELK, Splunk, or Datadog.
  • Knowledge of Kafka security (SSL, SASL, Kerberos, ACLs).
  • Experience in troubleshooting performance and connectivity issues.
  • Familiarity with scripting languages such as Shell, Python, or Bash.
  • Understanding of distributed systems and messaging architectures.


Preferred Skills:

  • Experience with Confluent Platform administration.
  • Knowledge of Kubernetes, Docker, and containerised Kafka deployments.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Exposure to CI/CD tools, including Jenkins, GitHub Actions, or Azure DevOps.
  • Knowledge of Event-Driven Architecture (EDA) and microservices.

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