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Confluent - Senior Software Engineer

IBM Bengaluru, Karnataka, India

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Job Description

"Unlock the future of software development at IBM, where innovation meets collaboration and cutting-edge technology."

As a Confluent Senior Software Engineer at IBM, you'll be part of a high-performing team that designs, develops, and delivers cloud-native products that shape the future of business and society.

With a legacy of innovation and a culture that values continuous learning, you'll have the tools and opportunities to advance your career and create software that changes the world.

Why you should learn this:

High demand for Confluent expertise in the cloud-native market, with a projected growth rate of 20% YoY.

Expected Salary: $150,000 - $250,000 per year, depending on experience and location.

How it works:

  • Design and develop cloud-native applications using Confluent and Kafka technology.
  • Collaborate with cross-functional teams to deliver high-quality software solutions that meet client needs.
  • Stay up-to-date with the latest Confluent and Kafka technologies to ensure the team's expertise is always current.

Core Concepts to Master

1

Confluent Architecture

Design and implement scalable, fault-tolerant Confluent architectures that meet high availability and performance requirements. Learn about Confluent clusters, topics, partitions, and brokers.

2

Kafka Streams and KSQL

Develop real-time data processing applications using Kafka Streams and KSQL. Learn about stream processing, data aggregation, and data enrichment.

3

Confluent Schema Registry

Implement schema management using the Confluent Schema Registry. Learn about schema evolution, compatibility, and data serialization.

Interview Questions (Beginner)

  • What is Confluent, and how does it relate to Kafka?
  • Can you explain the basics of Kafka topics, partitions, and brokers?
  • How do you design a scalable Confluent architecture?

Job Overview

CompanyIBM
Employment TypeFull-time
LocationBengaluru, Karnataka, India
Experience LevelFresher
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Advance Questions

  • • How do you optimize Kafka cluster performance for high-throughput applications?
  • • Can you explain the differences between Kafka Streams and KSQL?
  • • How do you implement data serialization and deserialization using Avro or Protobuf?