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) 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)