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

EVYONIC SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 150,000 - 190,000; Full time

Job summary

EVYONIC SOLUTIONS PTE. LTD. in Singapore seeks a senior Java backend engineer to design, develop, and maintain scalable microservices using Java and Spring Boot.

You will implement secure REST APIs and collaborate across teams to deliver cloud-native solutions on AWS. You will work with Docker and Kubernetes (EKS), CI/CD pipelines, data tools like Snowflake/OpenSearch, and AI/data workflows. A minimum of 7+ years in Java backend development is required, with hands-on experience in distributed

Qualifications

• 7+ years of professional software development experience with Java backend.
• Strong hands-on experience in Java and Spring Boot, with microservices-based distributed systems.
• Experience building scalable solutions within AWS (EKS, S3, DynamoDB, RDS, Lambda, EMR, Step Functions).
• Experience with Snowflake and data engineering environments.

Responsibilities

• Design, develop, and maintain scalable Java/Spring Boot microservices for distributed, cloud-based enterprise apps.
• Develop secure REST APIs using Java, Spring Boot, JPA/Hibernate, and OAuth.
• Deploy and operate across AWS with services like EKS, S3, RDS, DynamoDB, Lambda, EMR, Step Functions.
• Build and optimize data access components using SQL/NoSQL databases and data pipelines.

Skills

Java backend

Spring Boot

Microservices

Cloud AWS

REST APIs

Docker

Kubernetes / EKS

CI/CD

Data engineering basics

Tools

OpenSearch

Snowflake

Hadoop/Hive/Trino

DynamoDB

MongoDB

PostgreSQL/MySQL

Jenkins

OAuth2

AWS EMR

Lambda

Job description

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.