Backend Engineer, SRA Promotion (2027 Graduate)

About the role

The SRA Promotion team builds scalable, data-driven promotion systems that use large-scale user, item, campaign and transaction data together with AI technologies such as recommender systems, LLM-based agents, causal inference, reinforcement learning and operations research to deliver more personalized and efficient marketing campaigns. This role designs and builds high-performance backend services and distributed systems that power personalized vouchers, promotions and campaign experiences across Shopee's key product surfaces.

Key responsibilities

• Partner with Product, Business, Data Science, Ads, Search and Recommendation teams to turn marketplace growth opportunities into reliable, scalable, production-ready solutions.
• Productionize machine learning and optimization by integrating model serving, experimentation and decisioning logic into low-latency online systems.
• Apply 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.

Required profile

• 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.
• Interest in distributed systems, high-concurrency architectures, microservices and scalable backend design.
• Self-motivated, eager to learn and driven to solve technical problems with measurable business impact.

Required skills

• Strong programming in Go and/or Python, with familiarity with Linux development environments.
• Good-to-have: experience or coursework in backend frameworks, distributed data processing, recommender systems, search or ads systems, and machine learning platforms.