Kafka Developer – Java

2 days ago

Bengaluru, India Surge Technology Solutions Inc Full time

We are seeking a skilled
Kafka Developer with strong Java expertise
to design, develop, and optimize event-driven applications and data streaming solutions. The ideal candidate will have hands-on experience with
Apache Kafka
,
Java (8/11/17)
, and modern frameworks such as
Spring Boot
, while also understanding distributed systems, real-time data pipelines, and microservices architectures.

Location: Bangalore and Gurugram

NP- Immediate to 30 days

Job Description:

Responsibilities

  • Design, develop, and maintain
    Kafka producers, consumers, and stream processing applications
    using Java.
  • Implement and optimize
    Kafka-based real-time data pipelines
    for high throughput and low latency.
  • Collaborate with cross-functional teams to integrate Kafka solutions into
    microservices
    and enterprise platforms.
  • Ensure
    scalability, reliability, and security
    of Kafka clusters and event-driven applications.
  • Develop
    Kafka Connectors
    for integration with databases, cloud storage, and external systems.
  • Implement
    schema management
    (e.g., Avro, JSON, Protobuf) with
    Confluent Schema Registry
    .
  • Monitor, troubleshoot, and optimize Kafka clusters and Java-based streaming applications.
  • Write
    unit tests, integration tests
    , and ensure best practices in
    CI/CD pipelines
    .
  • Provide technical guidance and mentorship to junior developers on Kafka and Java.
  • Document architecture, design decisions, and operational guidelines.

Required Skills & Qualifications

  • Bachelor's/Master's degree
    in Computer Science, Engineering, or related field.
  • 5–8 years
    of hands-on experience in Java (Core Java, Java 8+ features, Streams, Multithreading).
  • Strong expertise in
    Apache Kafka
    (brokers, topics, partitions, producers, consumers, streams, and connectors).
  • Experience with
    Spring Boot, REST APIs, and microservices
    development.
  • Familiarity with
    Confluent Kafka ecosystem
    (Kafka Streams, ksqlDB, Schema Registry, Connect).
  • Proficiency in
    message serialization formats
    (Avro, JSON, Protobuf).
  • Experience in
    CI/CD pipelines
    (Jenkins, GitLab, or similar).
  • Hands-on with
    containerization and orchestration
    (Docker, Kubernetes).
  • Good understanding of
    distributed systems, fault tolerance, and data consistency
    .
  • Strong debugging and problem-solving skills.

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