Role & responsibilities

- Design, develop, and manage Kafka topics, partitions, schemas, and related configurations.

- Build and maintain Kafka producers/consumers, connectors, and streaming applications.

- Manage Kafka clusters, monitoring performance, throughput, and availability.

- Implement Kafka Connect (source/sink connectors) and Schema Registry

- Implement event-driven architecture (EDA) and integration design patterns.

- Ensure high availability, scalability, and fault tolerance across integration systems.

- Set up monitoring, logging, and alerting for Kafka & integration platforms (e.g., Prometheus, Grafana, Splunk, ELK).

- Collaborate with architecture, DevOps, and application teams for end-to-end delivery.

- Develop and maintain integration flows using messaging systems (Kafka, MQ, JMS, etc.).

- Implement enterprise API integrations, web services (REST/SOAP), and microservice communication patterns.





- Work with integration tools/frameworks such as Spring Integration, Apache Camel, MuleSoft, or similar.

- Troubleshoot and optimize distributed system performance issues.

Preferred candidate profile

- 3-6 years hands-on experience with Apache Kafka (brokers, producers, consumers, Connect, Streams).

- Solid knowledge of Kafka internals, partitions, replication, retention and consumer groups.

- Experience with Java / Spring Boot, or Python for building integration services.

- Solid understanding of integration patterns, message queues, and microservices.

- Experience with REST APIs, JSON, XML, and data serialization formats (Avro/Protobuf).

- Experience with Linux, shell scripting, and system troubleshooting.

- Familiarity with Git, CI/CD tools (Jenkins, GitLab, Azure DevOps, etc.).

📌 Kafka / Integration Engineer (New Delhi)
🏢 EY
📍 New Delhi