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Medium: metro location and known employer, but Kafka specialization reduces broad applicant competition.
High: deep Kafka and distributed-systems experience is domain-specific and not easily transferable from unrelated backgrounds.
High: requires specialized Kafka/distributed-systems expertise and proven 24/7 production support experience.
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Own 24/7 production support and incident resolution for Kafka-based data streaming platforms.
Monitor and maintain Kafka cluster performance, availability, and reliability including detailed troubleshooting across producers, consumers, brokers, and clusters.
Support development teams on Kafka best practices and onboarding, acting as subject matter expert to improve system resilience and operational efficiency.
Work Experience Required: Not explicitly mentioned in the JD.
Strong operational experience with Kafka in production environments including troubleshooting of distributed systems and Kafka internals.
Availability to participate in 24/7 on-call rotation for incident support.
Not explicitly mentioned: educational qualifications, notice period, or location requirements.
Experience handling business-critical Kafka production environments with deep operational ownership and multi-layer problem solving under pressure.
Ability to collaborate effectively across engineering and non-engineering teams to guide Kafka best practices and incident response.
Expertise in Kafka internals and distributed system dynamics, capable of optimizing Kafka cluster health and performance in real-time.