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Niche Kafka specialization and senior level reduces applicant density despite metro Hyderabad location.
Role requires deep Kafka and middleware expertise, making cross-industry transferability limited.
Explicit 8+ years and 3+ years Kafka experience plus technical stack and certifications drive strict filtering.
Deploy, manage, and scale enterprise Apache Kafka clusters including configuration of brokers, ZooKeeper/KRaft, and Confluent components.
Design Kafka topic architecture with a focus on partitioning, replication, and security policies to ensure reliable, high-throughput real-time data pipelines.
Monitor Kafka performance metrics; troubleshoot consumer groups, offsets, and message replay; automate Kafka operations and conduct capacity planning and tuning.
8+ years middleware experience, with at least 3 years dedicated to Apache Kafka cluster management and operations.
Strong expertise in Kafka cluster management including replication, failover, Kafka Connect, Kafka Streams or KSQL.
Proficiency in Unix/Linux administration and Python/Shell scripting.
Bachelor's degree in Computer Science, IT, or related field.
Experience working in fast-paced, collaborative environments delivering client-facing middleware messaging solutions with Kafka.
Hands-on with Kafka operations automation, security implementations (SSL/TLS, SASL, ACL), and cloud Kafka platforms like AWS MSK or Azure Event Hubs.
Technical focus on distributed systems, real-time data processing pipelines, and capacity planning in enterprise scale environments.