Expert Software Engineer - ShopeePay

Shopee • Commerce • Python • Go • Java • 8 hours ago

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Salary

≈ $75k – $198k per year (Estimated)

Location

In office (Singapore)

Seniority

Senior · 5+ years exp

Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 24, 2026.

Overview

Company

Impact

Profile match

Shopee

Shopee is a multinational technology company and e-commerce marketplace platform operating as a subsidiary of Sea Limited. The company provides a hybrid B2C and C2C digital marketplace offering retail products, integrated digital payments and financial services via ShopeePay/SeaMoney, and end-to-end logistics and fulfillment solutions through SPX Express. Headquartered in Singapore, the platform serves millions of consumers and merchant partners across Southeast Asia, Taiwan, and Latin America.

shopee.com • HQ: Singapore • Commerce • Est. 2015

Design and develop high-concurrency, highly available, and high-performance payment and financial systems.
Build critical payment modules with strict requirements for fund security, data integrity, consistency, and disaster recovery.
Participate in end-to-end product delivery, from business understanding and system design to implementation, testing, deployment, and operations.
Use AI coding tools throughout the development lifecycle, including design, coding, testing, debugging, refactoring, and code review.
Build AI-native engineering practices, including Agent Harnesses, engineering Knowledge Bases, AI Loops, workflow automation, and knowledge reuse.

Strong backend development experience with Golang, Java, or Python. Golang is preferred.
At least 5 years of experience building scalable backend services, distributed systems, or high-volume transaction systems. Experience in payment, e-wallet, banking, or other financial systems will be a strong plus.
Prior experience using AI to improve testing, debugging, incident response, code quality, or production operations in a implementation setting will be a strong plus.
Familiarity with MySQL, Redis, Kafka, Linux, and common cloud or infrastructure technologies.
Good understanding of computer science fundamentals, including data structures and algorithms, operating systems, computer networks, databases, and distributed systems.
Strong logical thinking and problem-solving skills. You can understand complex systems, identify key constraints, and make sound technical decisions.
Practical experience using AI coding tools to improve development speed and quality.
Experience or strong interest in building AI engineering workflows, including:
Agent Harnesses for context management, tool use, execution, feedback, and quality control.
Engineering Knowledge Bases containing architecture, business, API, coding, and operational knowledge.
AI Loops covering task decomposition, context preparation, AI generation, execution, testing, review, iteration, and knowledge accumulation.
Strong ownership experience, communication skills, and collaboration experience.

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