We are looking for an experienced Senior Kafka Administrator to lead the design, implementation, and management of highly scalable and resilient Kafka ecosystems. This role requires deep expertise in distributed systems, strong troubleshooting capabilities, and the ability to architect enterprise-grade streaming platforms. You will play a key role in ensuring system reliability, optimizing performance, and guiding teams on best practices for real-time data streaming.

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

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

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