Key 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 protected 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 Requirements:

- Technology Cloud Platform AWS Data Analytics Amazon Managed Streaming for Apache Kafka

Preferred Skills:

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

📌 Kafka (Secunderabad)
🏢 Infosys
📍 Secunderabad