LiveRemoteFull-timeApply by 1 Nov 2026
Java Backend Developer
Remote
- Experience
- 7–12 years
- Employment
- Full-time
- Work mode
- Remote
- Salary
- Not disclosed
- Deadline
- Apply by 1 Nov 2026
- Posted
- 2025-09-08
Required skills
| Skill | Experience | Level |
|---|---|---|
| Java | 7+ years | Not specified |
| SpringBoot | 5+ years | Not specified |
| Apache-Kafka | 4+ years | Not specified |
| Microservices architecture | 4+ years | Not specified |
| CI/CD | 1+ years | Not specified |
| Data Structures | 1+ years | Not specified |
| RESTful API | 3+ years | Not specified |
| Docker | 4+ years | Not specified |
| Kubernetes | 2+ years | Not specified |
| Jenkins | 2+ years | Not specified |
About the role
Job Title: Java Backend Developer
Location: Bengaluru
Client: Walmart Global Tech India
Job Description:
We are looking for a skilled Java Backend Developer to join our team for a long-term project. The ideal candidate should have strong expertise in Kafka, Microservices Architecture, and CI/CD pipelines, along with deep knowledge of Data Structures and Algorithms.
Key Responsibilities:
- Design, develop, and optimize scalable backend services using Java and Spring Boot.
- Implement Kafka-based event-driven architectures for reliable messaging.
- Develop and maintain microservices with a focus on scalability and high availability.
- Optimize database queries and ensure efficient data structures for improved application performance.
- Work with CI/CD pipelines, automating deployment processes using Jenkins, Docker, and Kubernetes.
- Collaborate with cross-functional teams including frontend developers, product managers, and DevOps engineers.
Required Skills:
- Strong backend development experience in Java, Spring Boot, and RESTful APIs.
- Hands-on experience with Kafka, including event-driven architecture and messaging.
- Expertise in Data Structures and Algorithms for optimized backend processing.
- Experience with CI/CD pipelines and deployment automation.
- Practical knowledge of Microservices Architecture, containerization, and orchestration using Docker and Kubernetes.
Nice to Have:
- Cloud platform experience (AWS, GCP, or Azure).
- Exposure to NoSQL and SQL databases, database optimization techniques.
- Monitoring and performance tuning experience with tools like Prometheus, Grafana, or ELK Stack.
- Understanding of security best practices in backend services.