Java Kafka Developer

Job Description: Java Kafka Developer

Job Title

Java Kafka Developer

Location

[City, State] / Remote / Hybrid

Employment Type

Full-time

Job Summary

We are seeking a skilled Java Kafka Developer to design, develop, and maintain high-performance, event-driven applications using Java, Apache Kafka, and Spring Boot. The ideal candidate will have experience building scalable microservices, real-time data streaming solutions, and distributed systems. You will work closely with architects, backend developers, DevOps engineers, and business stakeholders to deliver reliable, secure, and scalable event-driven applications.

Key Responsibilities

• Design, develop, and maintain Java-based event-driven applications using Apache Kafka.

• Develop producers, consumers, and stream processing applications.

• Build scalable microservices using Spring Boot and Spring Cloud.

• Design and implement Kafka topics, partitions, replication, and consumer groups.

• Integrate Kafka with databases, REST APIs, and third-party systems.

• Develop asynchronous messaging solutions for enterprise applications.

• Monitor Kafka clusters and optimize message throughput and latency.

• Troubleshoot Kafka performance issues and application bottlenecks.

• Implement fault-tolerant and highly available messaging architectures.

• Participate in code reviews, architecture discussions, and Agile ceremonies.

• Build automated unit and integration tests.

• Maintain technical documentation and operational runbooks.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.

• 3+ years of experience in Java development.

• Hands-on experience with Apache Kafka.

• Strong proficiency in Java (Java 8/11/17).

• Experience with Spring Boot and Spring Kafka.

• Experience developing RESTful APIs and microservices.

• Strong SQL and database knowledge.

• Familiarity with distributed systems and messaging patterns.

• Experience with Git and version control.

• Knowledge of Agile/Scrum methodologies.

Preferred Qualifications

• Experience with Kafka Streams or ksqlDB.

• Knowledge of Apache Avro and Schema Registry.

• Experience with Docker and Kubernetes.

• Familiarity with cloud platforms (AWS, Azure, or GCP).

• Experience with Redis or caching technologies.

• Knowledge of event sourcing and CQRS architecture.

• Experience with monitoring and logging tools.

• Familiarity with CI/CD pipelines.

Technical Skills

Programming Languages

• Java 8/11/17

• SQL

• Scala (Preferred)

• Python (Nice to Have)

Java Technologies

• Spring Boot

• Spring Kafka

• Spring MVC

• Spring Security

• Spring Data JPA

• Hibernate

• REST APIs

• Microservices

Apache Kafka

• Kafka Producers

• Kafka Consumers

• Kafka Streams

• Kafka Connect

• Kafka MirrorMaker

• Kafka Transactions

• Consumer Groups

• Topic Management

• Partitioning

• Replication

• Offset Management

• Exactly Once Processing (EOS)

Messaging Technologies

• Apache Kafka

• RabbitMQ

• ActiveMQ

• IBM MQ

• Amazon SQS

• Apache Pulsar (Preferred)

Serialization

• Apache Avro

• JSON

• Protobuf

• Apache Schema Registry

Databases

• PostgreSQL

• MySQL

• Oracle

• SQL Server

• MongoDB

• Cassandra

• Redis

Cloud Platforms

• AWS (MSK, EC2, S3, Lambda)

• Microsoft Azure

• Google Cloud Platform (Pub/Sub)

DevOps & CI/CD

• Docker

• Kubernetes

• Jenkins

• GitHub Actions

• Azure DevOps

• GitLab CI

Monitoring & Logging

• Prometheus

• Grafana

• ELK Stack

• Splunk

• Kafka Manager

• Confluent Control Center

Version Control

• Git

• GitHub

• GitLab

• Bitbucket

Testing

• JUnit

• Mockito

• Testcontainers

• Postman

• Rest Assured

Build Tools

• Maven

• Gradle

IDEs

• IntelliJ IDEA

• Eclipse

• Visual Studio Code

Soft Skills

• Strong analytical and problem-solving abilities.

• Excellent communication and collaboration skills.

• Ability to work independently and in a team environment.

• Strong attention to detail.

• Good organizational and time management skills.

• Ability to work in fast-paced Agile environments.

Preferred Experience

• Experience building event-driven microservices.

• Experience implementing real-time streaming applications.

• Knowledge of distributed systems and messaging architectures.

• Experience with high-volume, low-latency applications.

• Familiarity with secure messaging and authentication mechanisms.

• Experience deploying Kafka applications in cloud environments.

• Experience working in Agile/Scrum teams.

Nice to Have

• Confluent Platform

• Kafka Streams API

• ksqlDB

• Apache ZooKeeper

• Apache Camel

• Spring Cloud Stream

• Event Sourcing

• CQRS

• Debezium (CDC)

• Apache Flink

• Apache Spark Streaming

• OpenTelemetry

• SonarQube

• OAuth 2.0 / JWT Authentication

• Terraform

• Helm

• Testcontainers for Kafka Integration Testing

Experience: 3–8+ Years
Notice Period: Immediate to 30 Days Preferred