Description

You will design, manage, and evolve a large-scale Kafka event-driven platform.

Responsibilities

• Manage Kafka clusters, including configuration of producers, consumers, and connection handling.
• Lead migrations from Confluent instances to Confluent Cloud.
• Optimize platform performance by identifying bottlenecks and resolving bugs.
• Investigate technical issues to determine root cause and implement solutions.
• Develop and support Kafka integrations, including topics, producers, and consumers.

Required Skills

• 8+ years of industry experience in software or data engineering.
• 4+ years of hands-on experience specifically with Confluent Kafka.
• Deep knowledge of Kafka architecture, offset management, and partition strategies.
• Experience with Kafka connectors and producer/consumer APIs.
• Expertise in Kafka security configurations and Kerberos.
• Proficiency in Azure cloud management tools and Kafka cluster management tools.
• Familiarity with data streaming standards and design patterns.
• Experience working within Agile methodologies.
• Working knowledge of Git, Gradle, Sonar, and Jenkins.

Preferred Skills

• Experience managing disaster recovery (DR) requirements for streaming platforms.

Key Skills

Education

Any Graduate