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Open nowPosted 3 days ago

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

MyCareersFuture94,028 open roles

Pay
SGD 7,500 – SGD 9,000 a month
Where
Singapore
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Your applicationOpen nowJava Developer(Spring Boot, AWS Bedrock , Snowflake, AWS EMR, RAG, Trino, OpenSearch)MyCareersFuture · Singapore
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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 3 days ago

The posting

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.
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