Confluent Kafka Administrator

Job Title : Confluent Kafka Administrator Location : Remote / Onsite Experience :  7+ Years Employment Type : Full-Time Role Overview We are looking for an experienced Confluent Kafka Administrator to manage and support enterprise-grade Kafka environments.

The ideal candidate will be responsible for installation, configuration, monitoring, and troubleshooting Kafka clusters to ensure stability, performance, and security.

Key Responsibilities Kafka Cluster Management Install, configure, and maintain Confluent Kafka clusters (on-premises or cloud).

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

Perform version upgrades, patches, expansions, and cluster migrations.

Operations & Monitoring Monitor cluster performance, throughput, consumer lag, and system health.

Automate operational tasks using scripting (Python / Bash).

Implement monitoring solutions using Prometheus, Grafana, Datadog, or similar tools.

Troubleshooting & Optimization Diagnose and resolve production issues such as consumer lag, broker failures, replication delays, etc.

Tune performance for brokers, topics, partitions, and producers / consumers.

Security & Compliance Implement and manage security features including RBAC, SSL / TLS, ACLs, Kerberos .

Ensure compliance with internal governance and data protection standards.

Documentation & Support Maintain documentation for configurations, processes, and SOPs.

Provide on-call support for high-priority incidents.

Required Skills & Qualifications 7+ years of IT experience with at least 3–4 years dedicated to Kafka administration .

Strong hands-on experience with Confluent Kafka platform .

Expertise in troubleshooting Kafka issues and optimizing performance.

Experience with Linux-based systems (RHEL / Ubuntu).

Proficiency in scripting (Python, Bash).

Experience with monitoring and logging tools (ELK, Grafana, Prometheus).

Knowledge of network, security, and distributed systems fundamentals.

Preferred Qualifications Experience with Kafka on cloud platforms (AWS MSK, Azure Event Hubs, Confluent Cloud).

Knowledge of CI / CD and automation frameworks (Ansible, Terraform).

Experience with container platforms (Docker / Kubernetes).

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