Java Developer + Kafka | 6 to 14 Years | Pune & Hyderabad

Capgemini

Website: capgemini.com
Job details:
Job Description

Role Overview:

We are looking for an experienced Sr. Java Developer / Java Technical Lead with strong expertise in Apache Kafka to design, develop, and optimize high‑performance, real‑time distributed systems. The ideal candidate should have hands‑on experience in building scalable microservices and event‑driven architectures.

Key Responsibilities

• Design, develop, and maintain Java-based applications and microservices.
• Implement and manage Kafka producers, consumers, topics, partitions, and streams.
• Build event-driven solutions using Kafka Streams / KSQL.
• Optimize application performance, scalability, and reliability.
• Collaborate with cross-functional teams to understand requirements and deliver high-quality solutions.
• Troubleshoot production issues and participate in on-call support as needed.
• Ensure coding best practices, code reviews, and adherence to architecture standards.
  
  

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

Required Skills

Job Description - Grade Specific

• 6–14 years of hands-on Java development experience (Java 8+ preferred).
• Strong knowledge of Kafka architecture, message queuing, stream processing, and distributed systems.
• Expertise in Spring Boot, REST APIs, and microservices.
• Experience with Kafka Connect, Schema Registry, or Confluent Platform (optional but preferred).
• Solid understanding of SQL/NoSQL databases.
• Experience with CI/CD pipelines, Git, and cloud platforms (AWS/Azure/GCP).
• Strong debugging, problem-solving, and performance tuning skills.
  
  

Good to Have

• Experience with Docker/Kubernetes.
• Familiarity with monitoring tools (Prometheus, Grafana, Splunk, etc.).
• Exposure to big data frameworks (Spark, Hadoop) is a plus.

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