Backend Engineer, Marketplace Promotion (2027 Graduate)

Shopee; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Shopee's Marketplace Promotion Engineering team in Singapore is seeking a backend-focused Software Engineer to design, develop and maintain scalable services for the Shopee Marketplace. You will contribute to robust systems, performance tuning, and AI-driven development workflows.

You will collaborate with product managers, QA, and operations, and you will help deliver impact across a highly cross-functional team while advancing the use of LLM/AI to optimise development processes.

Qualifications

• Bachelor's or a higher degree in Computer Science or related fields.
• Familiar with backend languages such as Golang, Python, C++, or Java.
• In-depth understanding of data structures, algorithms, networking, OS fundamentals.
• Familiar with Linux operating system and MySQL.
• Exposure to performance tuning of high-load systems and AI/LLM to aid development.

Responsibilities

• Design, develop and maintain backend services.
• Collaborate with the product team and provide technical inputs to support product decision making.
• Participate in technical design discussions and contribute to the end solution.
• Execute and implement technical designs and troubleshoot issues related to business logic or performance.
• Collaborate in a highly cross-functional environment with fellow Engineers, PMs, QA, and Ops to deliver impact.
• Adopt and integrate LLM/AI to improve the overall development workflow.

Skills

Golang

Python

C++

Java

API design

LLM/AI integration

Distributed systems

Education

Bachelor's degree in Computer Science or related field

Tools

Linux

MySQL

Job description

About The Team

Shopee will be prioritizing applicants who have a

do not require Shopee sponsorship of a visa.

Kindly note that you can only be considered in

considered for jobs in the order that you have applied.

The Marketplace Promotion Engineering team works on features and systems that support Shopee's unique promotion mechanisms and strategies. This includes features such as Vouchers, Flash Sales, Bundle Deals and more. These promotion mechanisms are critical components of our Shopee Marketplace that provide discounts to our buyers, drive traffic to our platforms and boost orders for our sellers.

About The Team

Shopee will be prioritizing applicants who have a current right to work in Singapore, and do not require Shopee sponsorship of a visa. Kindly note that you can only be considered in one recruitment process at a time within Sea Group and will be considered for jobs in the order that you have applied. The Marketplace Promotion Engineering team works on features and systems that support Shopee's unique promotion mechanisms and strategies. This includes features such as Vouchers, Flash Sales, Bundle Deals and more. These promotion mechanisms are critical components of our Shopee Marketplace that provide discounts to our buyers, drive traffic to our platforms and boost orders for our sellers.

Job Description

• Design, develop and maintain backend services
• Collaborate with the product team and provide technical inputs to support product decision making
• Participate in technical design discussions and contribute to the end solution
• Execute and implement technical designs
• Troubleshoot issues related to business logic or performance
• Collaborating in a highly cross-functional environment with fellow Software Engineers, Product Managers, Quality Assurance Engineers, and Operation Engineers to deliver impact.
• Adopting and integrating LLM/AI to improve the overall development workflow

Requirements

• Bachelor\'s or a higher degree in Computer Science or related fields
• Familiar with commonly used backend programming languages, such as Golang / Python / C++ / Java
• In-depth understanding of Data Structures and Algorithms, Networking, OS and other Computer Science fundamentals
• Familiar with Linux operating system
• Familiar with relational databases such as MySQL
• Exposure to performance tuning of high load systems
• Familiar with using LLM/AI to aid development and day to day