Java Developer(Spring Boot, AWS Bedrock , Snowflake, AWS EMR, RAG, Trino, OpenSearch)

Responsibilities • Design, develop, and maintain scalable Java and Spring Boot microservices for distributed, cloud-based enterprise applications. • Develop and integrate secure, scalable REST APIs using Java, Spring Boot, JPA/Hibernate, and OAuth. • Develop and deploy scalable applications across AWS, leveraging services such as Amazon EKS, S3, RDS, DynamoDB, Lambda, EMR, and Step Functions. • Develop and support data-intensive applications and data engineering pipelines using Snowflake, AWS EMR, Hadoop, Hive,and Trino. • Build and integrate AI/data solutions involving AWS Bedrock, OpenSearch, vector-based retrieval, and RAG workflows. • Develop containerized applications using Docker and Kubernetes/EKS and support deployment across cloud environments. • Implement and maintain CI/CD pipelines using Jenkins and Git-based workflows. • Develop and optimize data-access components using JPA/Hibernate, integrating Java applications with relational and NoSQL database systems. • Develop scalable, secure, and multi-tenant backend services with emphasis on performance, reliability, and maintainability. • Participate in architecture discussions, code reviews, technical design, troubleshooting, and Agile development practices. Requirements • 8+ years of professional software development experience, with strong hands-on experience in Java backend development. • Strong hands-on experience in Java and Spring Boot, with substantial experience developing microservices-based distributed systems. • Hands-on experience building and supporting scalable solutions within AWS, with exposure to services such as Amazon EKS, S3, DynamoDB, RDS, Lambda, EMR, and Step Functions. • Hands-on experience with Snowflake and enterprise-scale data engineering/data platform environments. • Experience with AWS Bedrock, Generative AI, RAG, OpenSearch, or vector-based retrieval technologies. • Strong experience with Docker and Kubernetes, preferably Amazon EKS. • Experience building scalable REST APIs and implementing OAuth2-based authentication and authorization. • Practical experience working with DynamoDB, MongoDB, PostgreSQL and MySQL with an understanding of data modeling, querying, and performance optimization. • Experience with AWS EMR, Hadoop, Hive, or Trino for large-scale data processing. • Experience with Jenkins and CI/CD practices for automated build and deployment pipelines. • Experience in Python for data engineering, automation, or AI/analytics workflows. • Experience with distributed systems, cloud-native architecture, containerization, and scalable backend design. • AWS Certification is preferred.