Kafka Developer

Nisource Technologies

Bengaluru

On-site

INR 1,710,000 - 2,090,000

Full time

4 days ago
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Job summary

Nisource Technologies in Bengaluru is seeking a skilled Java + Kafka Engineer to join a streaming tech stack. You will design and implement Kafka-based streaming microservices, work on event-driven architectures, and help build real-time data pipelines.

You should have 6-8 years of hands-on Java and Kafka experience, with strong understanding of distributed systems, Linux, and containerized environments (Docker/Kubernetes).

Qualifications

  • 6-8 years of hands-on Java and Kafka experience.
  • Experience with enterprise streaming and distributed systems.
  • Experience building event-driven microservices.
  • Proficiency in Linux and containerized environments.
  • Ability to troubleshoot Kafka and distributed systems.

Responsibilities

  • Design and develop Kafka-based streaming microservices and integration services.
  • Experience with event-driven architecture, microservices, and real-time data pipelines.
  • Strong understanding of distributed systems, scalability, fault tolerance, and high availability.
  • Troubleshoot complex Kafka, streaming, and distributed-system issues.
  • Collaborate with architecture, development, and platform teams.

Skills

Java
Kafka/Confluent
Kafka Streams
Microservices
Event-Driven
Distributed Systems
Linux
Docker
Kubernetes
Real-time Pipelines

Tools

Docker
Kubernetes

Job description

Java + Kafka Engineer

Location: Bengaluru

Experience: 6-8 Years

CTC: Up to 19 LPA

Job Summary:

Looking for a strong Java + Kafka Engineer with hands-on experience in enterprise streaming, distributed systems, and event-driven microservices.

Key Skills & Responsibilities:
  • Strong hands-on experience in Java, Apache Kafka/Confluent, and Kafka Streams.
  • Design and develop Kafka-based streaming microservices and integration services.
  • Experience with event-driven architecture, microservices, and real-time data pipelines.
  • Strong understanding of distributed systems, scalability, fault tolerance, and high availability.
  • Experience with Linux and containerized environments (Docker/Kubernetes).
  • Troubleshoot complex Kafka, streaming, and distributed-system issues.
  • Collaborate with architecture, development, and platform teams.
Must Have:

Java + Kafka/Confluent + Kafka Streams + Microservices + Event-Driven Architecture + Distributed Systems

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