Educational Requirements

Bachelor of Engineering

Service Line

Data Analytics Unit

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 productive 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

Preferred Skills:

Technology->Java->Apache->Kafka

📌 Kafka Admin (Hyderabad)
🏢 Infosys
📍 Hyderabad