Technology->Cloud Platform->AWS Data Analytics->Amazon Managed Streaming for Apache Kafka
- 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.
📌 Kafka (Hyderabad)
🏢 Infosys
📍 Hyderabad
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