全职 Java Developer(Spring Boot, AWS Bedrock , Snowflake, AWS EMR, RAG, Trino, OpenSearch) 工作, 薪水 up to SGD 9,000, EVYONIC SOLUTIONS PTE. LTD. 公司招聘中 - Ricebowl

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

7+ 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.