Roles Responsibilities- Design, implement, and support Kafka-based streaming solutions for high-throughput, low-latency workloads.

- Configure and manage topics, partitions, replication, retention, and compaction policies aligned to application needs.

- Ensure cluster reliability and availability through capacity planning, upgrades, patching, and proactive maintenance.

- Troubleshoot production issues including consumer lag, broker performance, rebalancing, and message delivery concerns.

- Define and enforce standards for naming, ACLs, quotas, and multi-tenant usage to ensure secure platform adoption.

- Implement monitoring and alerting for Kafka health, throughput, latency, and storage using metrics and logs.





- Partner with engineering teams to guide producer/consumer configurations and best practices for scalability and resilience.

- Drive performance tuning across brokers and clients, including partition strategy and batching/compression settings.

- Document operational runbooks, architecture patterns, and onboarding guidelines for consistent usage across teams.

Technical RequirementTechnology->Cloud Platform->AWS Data Analytics->Amazon Managed Streaming for Apache Kafka

Educational RequirementMCA,MTech,Bachelor of Engineering,BCA,BTech

Preferred SkillsTechnology->Cloud Platform->AWS Data Analytics->Amazon Managed Streaming for Apache Kafka

Service LineCloud Infrastructure Services

📌 Kafka Developer (Hyderabad)
🏢 Infosys
📍 Hyderabad