Responsibilities :

Design, deploy, and manage large-scale Kafka clusters across on-premise and cloud environments Lead architecture decisions for high availability, scalability, and fault tolerance Monitor, troubleshoot, and optimize Kafka clusters to achieve optimal performance and uptime Handle capacity planning, cluster sizing, and performance tuning Manage advanced configurations including multi-cluster replication (MirrorMaker), tiered storage, and KRaft mode Configure and enforce security best practices (SASL, SSL/TLS, RBAC, ACLs) Implement robust backup, disaster recovery, and failover strategies Collaborate with engineering teams to design efficient event-driven architectures and streaming pipelines Resolve complex production issues and lead root cause analysis (RCA) Automate infrastructure provisioning and operational tasks using tools like Terraform, Ansible, or scripts Lead Kafka upgrades, migrations, and platform enhancements with minimal downtime Establish and maintain monitoring, alerting, and logging frameworks Mentor junior engineers and provide technical leadership Create and maintain detailed documentation and operational runbooks

Additional Responsibilities:

Bachelor's or Master's degree in Computer Science, IT, or a related field (or equivalent practical experience)

Technical and Professional Requirements:

Primary skills:Technology- Java- Apache 5-9 years of IT experience with at least 3+ years in Kafka administration/engineering Strong expertise in Apache Kafka internals (brokers, partitions, replication, ISR) Deep understanding of distributed systems, messaging frameworks, and event streaming Experience with Kafka ecosystem tools: Kafka Connect, Kafka Streams, Schema Registry Hands-on experience with monitoring tools like Prometheus, Grafana, ELK, or Splunk Strong Linux/Unix administration skills Experience with cloud platforms (AWS MSK, Azure Event Hubs/Kafka, GCP Pub/Sub-Kafka integration) Familiarity with containerization and orchestration (Docker, Kubernetes) Expertise in scripting/programming (Python, Bash, or Java preferred) Strong problem-solving skills with the ability to handle critical incidents

Kafka Admin