Compliance Product Engineer

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

Job summary

Xiaohongshu is seeking a high-caliber engineer in Singapore to design and build a global multi-region architecture and a data compliance platform for worldwide users.

You will own full-stack development across frontend, backend, and data infrastructure, integrated with AI-enabled capabilities and strong regulatory compliance.

Join a cross-functional team collaborating with legal, security, product, and regional partners to deliver scalable, well-governed systems in a multilingual environment.

Qualifications

• Bachelor's degree or above in CS, SE, AI or related fields.
• Strong fundamentals in data structures, algorithms, networking, and OS.
• Proficient in Java or Go with solid coding standards.
• Familiarity with GDPR or data governance is a plus.
• Self-driven with ability to deliver in complex, cross-functional teams.

Responsibilities

• Design and evolve Xiaohongshu's global multi-region architecture and own full lifecycle from design to launch.
• Build a data compliance platform 0 to 1 for global business, including core data products.
• Apply AI-Native R&D to deliver full-stack development across frontend, backend and data infra.
• Advance intelligent capabilities in real compliance scenarios (data ID, auditing, Q&A).
• Collaborate with legal, security, product and cross-functional teams to drive architecture upgrades.

Skills

Java

Go

Data structures

Algorithms

Networking

Operating systems

AI tools

Education

Bachelor's degree in CS/SE/AI

Job description

The International Engineering team is a core R&D force behind Xiaohongshu's global expansion, carrying the mission of bringing Xiaohongshu to users worldwide. Unlike mature businesses built on continuous optimization, we face a true greenfield — under the complex constraints of multiple languages, regions, and regulatory regimes, we are building from scratch a global architecture spanning multi-region deployment, together with a data compliance platform that powers our global business, keeping the business well-governed, fully transparent, and clearly accountable under multiple regulatory frameworks.

Going global is a complete redesign. We rebuild data pipelines and infrastructure under compliance constraints, connecting users across languages and cultures. And as AI redefines content communities, we explore intelligent technology through an AI-Native R&D paradigm — turning AI into the bridge across language, geographic, and compliance divides.

We offer a true 0-to-1 stage: hyper-scale global scenarios, engineering problems with no standard answers, and a group of peers who insist on doing the right thing amid uncertainty while relentlessly pursuing code quality and system stability.

Job Responsibilities

• Deeply participate in the design and evolution of Xiaohongshu's global multi-region architecture; develop a solid understanding of product strategy and compliance constraints, and own the full lifecycle from system architecture design and core coding to final launch;
• Build a data compliance platform from 0 to 1, covering core products such as the Data Asset Dictionary, Cross-Border Gateway, Third-Party Gateway, and RoPA/DSR, providing unified data compliance infrastructure for global business;
• Embrace the AI-Native R&D paradigm: leverage AI to cross technical boundaries, independently deliver full-stack development spanning frontend, backend, and data infrastructure, and grow across technical domains;
• Drive the exploration and engineering implementation of intelligent capabilities in real compliance scenarios (e.g., sensitive data identification, intelligent auditing, compliance Q&A);
• Collaborate closely with legal, security, product, and other cross-functional partners; proactively identify compliance and experience pain points from an engineering perspective, driving system evolution and architecture upgrades.

Job Requirements

• Bachelor's degree or above; majors in Computer Science, Software Engineering, Artificial Intelligence, or related fields preferred;
• Solid computer science fundamentals, including data structures, algorithms, networking, and operating systems. Proficient in at least one mainstream programming language (Java/Go preferred), with excellent coding standards and engineering discipline;
• Strong technical curiosity and fast learning ability; a heavy daily user of AI tools to assist development and solve complex problems, able to quickly master unfamiliar technical domains;
• Passionate about data compliance and privacy protection; familiarity with regulatory frameworks such as GDPR, or hands-on experience with gateways, middleware, data governance, or platform development is a plus;
• Strong ownership and self-drive with rigorous logical thinking; able to see through the surface of business problems to their essence, results-oriented, and effective at driving projects to delivery in complex collaborative environments.