Backend Engineer

ABSOLUTE AI ASIA (SG) PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading fintech company in Singapore is looking for an experienced Java back-end developer to contribute to product design and enhance core system modules. The ideal candidate will have a bachelor's degree in Computer Science, 3-5 years of Java experience, and strong knowledge of Spring Boot, database optimization, and AI integration frameworks. This role requires problem-solving skills and a passion for technology.

Qualifications

• 3-5 years of experience as a Java back-end developer.
• Strong hands-on experience with Spring Boot, databases, and integration frameworks.
• Good object-oriented programming analysis and design abilities.

Responsibilities

• Participate in product requirements analysis and design of core modules.
• Develop core system modules and technical documentation.
• Troubleshoot and diagnose production issues.

Skills

Java back-end development

Spring Boot

Spring Cloud

MyBatis

RabbitMQ

MongoDB

MySQL

Redis

ZK

Kafka

Nacos

Jenkins

Docker

Kubernetes

PyTorch

TensorFlow

Education

Bachelor's degree or higher in Computer Science or a related field

Job description

Job Responsibilities

1. Participate in product requirements analysis and design of core modules for credit process and application products.
2. Responsible for developing core system modules and technical documentation, continuously improving system maintainability, scalability, and performance.
3. Troubleshoot and diagnose issues in production, resolve and implement long-term fixes, preventing downtime or regressions.

Required Qualifications

1. Bachelor's degree or higher in Computer Science or a related field.
2. 3-5 years of experience as a Java back-end developer.
3. Experience in product requirements review, functional module design, coding and testing to ensure high-quality deployment and timely progress.
4. Strong hands-on experience using Spring Boot, Spring Cloud, MyBatis, RabbitMQ, RocketMQ, and MongoDB.
5. Experience in MySQL and Redis database usage and optimization.
6. Proficient in using ZK, Kafka, and Nacos.
7. Familiar with HTTP protocols and able to develop interfaces according to RESTful specifications.
8. Familiar with continuous integration and containerization technologies, such as Jenkins, Docker, and Kubernetes.
9. Familiar with LLMs optimization using Prompt Engineering, RAG, Agent, and SFT, and proficient in language model integration frameworks like LangChain and LlamaIndex.
10. Familiar with common AI development tools (e.g., PyTorch, TensorFlow) and basic inference engines (e.g., vLLM, TensorRT-LLM).
11. Good object-oriented programming analysis and design abilities.
12. Passionate about latest technology, with a continuous learning mindset and good communication skills.

Preferred Experience

1. Familiar with the credit business domain and possesses fundamental industry knowledge.
2. Experience working in the fintech or banking sectors is a plus.
3. Candidates with practical implementation cases of LLMs in the financial sector.