Backend Engineer, Marketplace Promotion (Campus Recruitment 2025)

Be among the first applicants.
This is an IT support group
Singapore
SGD 80,000 - 100,000
Be among the first applicants.
2 days ago
Job description
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
Requirements
  • Recent graduates with a Bachelor's degree or above in Computer Science, Engineering, or related fields
  • Familiar with at least one backend programming language such as Java, Python, Golang or C++
  • Strong in logical thinking and problem solving skills, actively seeking challenges
  • Strong ownership, good communication skills, having teamwork spirit and capable of working independently under pressure
  • Passionate about coding and programming, innovation, and solving challenging problems
  • In-depth understanding of computer science fundamentals (data structures and algorithms, operating systems, networks, databases, etc)
Good To Have
  • Hands-on experience with Golang
  • Familiar with Linux operating system
  • Familiar with relational databases such as MySQL
  • Exposure to performance tuning of high load systems
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