
Highly Available Kafka Cluster Specialist
7 days ago
Kafka System Architect
As a Kafka System Architect, you will be responsible for designing and implementing highly available and scalable Kafka clusters. Your primary focus will be on deploying production-grade Kafka environments using tools such as Ansible and Chef.
Main Responsibilities:
- Cluster Design and Implementation: Collaborate with cross-functional teams to design and implement efficient Kafka cluster architectures that meet business requirements.
- Deployment and Management: Deploy and manage production-grade Kafka clusters, ensuring high availability, fault tolerance, and optimal performance.
- Troubleshooting and Optimization: Troubleshoot critical production issues and optimize Kafka performance by analyzing system logs, configuring settings, and applying patches.
- Data Replication and Integration: Configure MirrorMaker for data replication between two data centers, ensuring effective disaster recovery and seamless data flow across different systems.
- Monitoring and Security: Deploy Provectus Kafka UI on a Kubernetes cluster for real-time monitoring and management, and implement end-to-end security using SSL/TLS.
- User Onboarding and Support: Onboard new users by managing ACL permissions, creating topics, and providing technical support for Kafka-related issues.
- Performance Testing and Analysis: Conduct performance testing to optimize partitioning, replication, and retention policies, and analyze system metrics to identify areas for improvement.
- Infrastructure Development: Develop and maintain Kafka infrastructure to enhance message processing efficiency and scalability.
Required Qualifications:
Bachelor's or Master's degree in Computer Science, Information Technology, or related field, along with 3+ years of experience in designing and implementing Kafka systems.
Necessary Skills:
Kafka clusters, MirrorMaker, Kafka Streams, Schema Registry, Kubernetes, Docker, Ansible, Terraform, Monitoring & Logging, Programming & Scripting, Shell Scripting.
Bonus Points:
Experience with ELK Stack and Solr for scalable data storage and analysis, knowledge of Linux/Unix systems, and proficiency in programming languages such as Java, Python, or Scala.
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