Krishna Kumar N

Cloud & Infrastructure Engineer with 4+ years of experience designing, administering, and optimizing enterprise event-driven architectures and streaming platforms. Expert in Apache Kafka and Confluent Platform/Cloud, managing high-throughput clusters across AWS and Azure environments. Proven track record in infrastructure automation, production incident management, root-cause analysis, and cross-cloud event streaming

Cloud & Infrastructure Engineer at Capgemini (2022-03 – Present)

• Kafka Cluster Administration: Lead day-to-day administration and production support of Apache Kafka and Confluent Platform clusters, including broker operations, rolling upgrades, partition reassignment, topic lifecycle management, segment management, and capacity planning
• AWS & Ecosystem Integration: Provision and manage AWS MSK and EC2-based Kafka infrastructure using Terraform; build and support Kafka Connect pipelines integrating with Amazon S3, DynamoDB, and enterprise relational databases
• Kafka Migration: Involved in Kafka cluster migration activities across on-premises and AWS environments, including topic and partition migration, MirrorMaker 2 replication, configuration validation, data validation, cutover support, and post-migration monitoring
• Monitoring & Operations: Monitor broker CPU/memory, JMX metrics, consumer lag, replication health, and ISR status using Prometheus, Grafana, Splunk, ITRS, and AWS CloudWatch; proactively troubleshoot cluster performance and workload issues
• Security & Governance: Implement and maintain SASL/SCRAM authentication, TLS/mTLS encryption, SSL certificate rotation, and fine-grained Kafka topic ACLs to meet enterprise security and compliance requirements
• Schema Management: Manage Confluent Schema Registry and support schema evolution and compatibility for event-driven applications using Avro and Protobuf serialization formats
• Production Engineering & RCA: Provide L2/L3 production support for Kafka and cloud infrastructure; lead investigation and resolution of P1/P2 incidents, perform root-cause analysis, and coordinate remediation within defined SLAs
• Infrastructure Automation: Automate infrastructure provisioning and configuration using Terraform and Ansible, improving deployment consistency and reducing manual operational effort
• Disaster Recovery & High Availability: Support multi-region Kafka replication using MirrorMaker 2 and Confluent Cluster Linking; participate in replication validation, DR failover testing, and business continuity exercises
• Change & Release Management: Execute production changes including Kafka configuration updates, broker maintenance, upgrades, topic changes, partition movements, and infrastructure modifications, following enterprise change-management processes

Bachelor of Engineering in Electronics & Communication Engineering – PRIST University