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Kafka Admin

Lumiere Systems
Posted 13 days ago, valid for 2 days
Location

New York, NY 10008, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • A Kafka Administrator is responsible for the installation, configuration, management, and monitoring of Apache Kafka clusters to ensure high availability and performance.
  • Key responsibilities include managing brokers, topics, and partitions, as well as collaborating with other teams for system integration.
  • The role requires expertise in performance optimization, security management, monitoring, troubleshooting, and automation.
  • Candidates should have at least 3 years of experience in Kafka administration and related technologies.
  • The position offers a competitive salary of $100,000 to $130,000 annually.

Responsibilities –

A Kafka Administrator is responsible for the installation, configuration, management, and monitoring of Apache Kafka clusters, ensuring high availability, security, and optimal performance. They manage the Kafka environment, including brokers, topics, and partitions, and work with other teams to integrate Kafka with various systems.

Kafka Cluster Management: Installing, configuring, and maintaining Kafka clusters, including high availability and disaster recovery strategies.

Performance Optimization :Monitoring performance, identifying bottlenecks, and fine-tuning Kafka for optimal throughput and latency.

Security Management: Implementing and managing security configurations, including access control, authentication, and encryption.

Monitoring and Alerting: Setting up and maintaining monitoring and alerting systems to proactively identify and address issues.

Troubleshooting: Diagnosing and resolving issues within the Kafka ecosystem, including performance problems, connectivity issues, and data-related problems.

Integration: Collaborating with development and other teams to integrate Kafka with other systems and applications, including data ingestion and real-time data streaming.

Documentation: Creating and maintaining documentation for Kafka configurations, processes, and procedures.

Automation: Automating routine tasks and developing scripts to streamline cluster management.

Capacity Planning: Assessing current and future resource needs to ensure the Kafka environment can scale effectively.




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