Java Developer + Kafka | 6 to 14 Years | Pune & Hyderabad
Actively Reviewing the ApplicationsCapgemini
India, Telangana, Hyderabad, Chennai
Full-Time
Posted 4 days ago
•
Apply by June 24, 2026
Job Description
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
Required Skills
Job Description - Grade Specific
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.
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.
- Experience with Docker/Kubernetes.
- Familiarity with monitoring tools (Prometheus, Grafana, Splunk, etc.).
- Exposure to big data frameworks (Spark, Hadoop) is a plus.
Required Skills
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