Backend Engineer, SRA - Promotion (2027 Graduate)

re-zoo-me; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

Shopee is seeking a backend engineer to design and build high-performance services powering vouchers, promotions, and campaign experiences across product surfaces.

You will partner with cross-functional teams to translate marketplace growth opportunities into scalable, production-ready solutions, including ML/AI integrations for improved campaign operations.

Qualifications

• Bachelor’s or Master’s degree in CS/SE.
• Strong foundation in data structures, algorithms, OS, networks.
• Go and/or Python with Linux development familiarity.
• Strong problem-solving, communication, and collaboration.
• Interest in distributed systems, microservices, scalable backend design.
• Self-motivated with measurable business impact.
• Good-to-have: backend frameworks, distributed data processing, ML platforms.

Responsibilities

• Design and build high-performance backend services and distributed systems.
• Collaborate with Product, Business, Data Science, Ads, Search and Recommendation teams.
• Productionize ML and optimization capabilities in low-latency systems.
• Apply AI technologies, including LLMs and AI agents, to improve operations.
• Develop capabilities for personalized recommendations, promotions, and forecasting.
• Ensure reliability via resilient API design, caching, and observability.

Skills

Go

Python

Linux

Data structures

Algorithms

Distributed systems

Microservices

Backend design

Problem-solving

Communication

Collaboration

Education

Bachelor's or Master’s degree in CS/SE

Tools

Backend frameworks

Distributed data processing

Recommender systems

Search/Ads systems

Machine learning platforms

Job description

About The Team

The SRA Promotion team develops scalable, data-driven promotion systems that drive marketplace growth and enhance user experience. By leveraging large-scale user, item, campaign, and transaction data, the team applies advanced AI technologies—including recommender systems, LLM-based agents, causal inference, reinforcement learning, and operations research—to deliver more personalized, efficient, and measurable marketing campaigns.

Job Description

• Design and build high-performance backend services and distributed systems that power personalized vouchers, promotions, and campaign experiences across Shopee’s key product surfaces.
• Partner closely with Product, Business, Data Science, Ads, Search, and Recommendation teams to translate marketplace growth opportunities into reliable, scalable, and production-ready engineering solutions.
• Productionize machine learning and optimization capabilities by integrating model serving, experimentation, and decisioning logic into low-latency online systems.
• Apply advanced AI technologies, including LLMs, and AI agents, to improve the efficiency, quality, and automation of e-commerce campaign operations.
• Develop core capabilities for personalized recommendations, promotion and voucher optimization, campaign budget planning, and product demand forecasting.
• Ensure production reliability through resilient API design, caching, asynchronous processing, graceful degradation, observability, and continuous performance optimization.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Strong foundation in data structures, algorithms, operating systems, computer networks, and computer systems.
• Strong programming skills in Go and/or Python, with familiarity with Linux development environments.
• Strong problem-solving, communication, and collaboration skills.
• Interest in distributed systems, high-concurrency architectures, microservices, and scalable backend design.
• Self-motivated, eager to learn, and driven to solve challenging technical problems with measurable business impact.
• (Good-to-have) Experience or coursework in backend frameworks, distributed data processing, recommender systems, search or ads systems, machine learning platforms.