Senior Java Backend Engineer - Bangalore (Hybrid) | 8+ Years Experience

Candidates ready to join immediately can share their details via email for quick processing. CCTC | ECTC | Notice Period | Location Preference View email address on easyhiring.pro Act fast for immediate attention! ⏳ 1. Backend Development

• Design, develop, and maintain scalable backend services using Java 11+ and Spring Boot .
• Build microservices-based architectures for high-performance distributed systems.
• Develop and maintain RESTful APIs with strong focus on performance, security, and scalability. 2. Event-Driven Architecture
• Design and implement event-driven systems using Apache Kafka .
• Build high-throughput, fault-tolerant messaging pipelines.
• Optimize Kafka producers and consumers for large-scale data processing. 3. API Design & Integration
• Design, implement, and manage REST APIs .
• Work with API Gateway to publish and manage APIs.
• Ensure API security, versioning, and documentation. 4. Cloud & Infrastructure
• Develop and deploy cloud-native services using AWS .
• Work with AWS services such as:
• DynamoDB
• EKS (Kubernetes)
• SQS
• Lambda
• S3
• Build scalable and resilient systems on cloud infrastructure. 5. System Design & Ownership
• Design highly scalable and fault-tolerant microservices architecture .
• Own services end-to-end including design, development, testing, deployment, and monitoring .
• Troubleshoot and resolve performance issues in production systems. Required Skills Mandatory Skills
• Java (11+)
• Spring Boot
• Microservices Architecture
• Apache Kafka
• REST API Development
• AWS Services (DynamoDB, EKS, SQS, Lambda, S3) Experience Requirements
• 8+ years of experience building and owning production-grade backend services .
• Deep expertise in Java, Spring Boot, and REST API design .
• Strong hands-on experience with Kafka in high-throughput environments .
• Proven experience designing and managing APIs using API Gateway .
• Strong experience building cloud-native applications on AWS . Good to Have
• Kubernetes and containerization
• CI/CD pipelines
• Distributed system design
• Monitoring tools (Prometheus, Grafana, ELK)