Backend Developer

Webot; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

Webot is seeking a Backend Engineer to design, implement, and optimize its risk control system for real-time monitoring and prevention. You will build a real-time risk engine, develop risk rules and anti-fraud features, and enhance data collection and processing to support scalable risk management.

The role emphasizes cross-functional collaboration, strong coding practices in Go or Python, and hands-on experience with MySQL, Kafka, Redis, and Elasticsearch.

Qualifications

• Bachelor's degree or higher in Computer Science, Software Engineering, Mathematics, Statistics, FinTech, or related fields.
• At least 1 year of backend development experience; experience in risk control or anti-fraud systems is preferred.
• Proficient in backend languages (Go or Python) with good coding practices.
• Familiar with middleware such as MySQL, Kafka, Redis, and Elasticsearch.
• Strong teamwork, logical thinking, and problem-solving skills for cross-department collaboration.

Responsibilities

• Design, develop, and optimize the risk control system for efficient monitoring and prevention.
• Build a real-time risk control engine, including risk rules, model calculations, anti-fraud detection, and related features.
• Design and optimize data collection, cleaning, and computation processes to enhance data processing.
• Develop risk control strategy management tools to improve flexibility and adjustability.
• Monitor system performance, optimize efficiency, and ensure high availability and low latency.

Skills

Backend development

Go

Python

Teamwork

Problem-solving

Education

Bachelor's degree or higher in Computer Science, Software Engineering, Mathematics, Statistics, FinTech, or related fields

Tools

MySQL

Kafka

Redis

Elasticsearch

Job description

• Responsible for the design, development, and optimization of the company's risk control system to achieve efficient and stable risk monitoring and prevention mechanisms.
• Participate in building a real-time risk control engine, including the development of risk control rules, model calculations, anti-fraud detection, and other functionalities.
• Design and optimize data collection, cleaning, and computation processes to enhance data processing capabilities.
• Develop risk control strategy management tools based on business needs to improve the flexibility and adjustability of risk control strategies.
• Continuously monitor system performance, optimize system efficiency, and ensure high availability and low latency.

Job Requirements:

• Bachelor’s degree or higher in Computer Science, Software Engineering, Mathematics, Statistics, FinTech, or related fields.
• At least 1 year of backend development experience; experience in risk control systems, payment systems, or anti-fraud systems is preferred.
• Proficient in at least one backend programming language (e.g., Go, Python) with strong coding practices.
• Familiar with middleware such as MySQL, Kafka, Redis, and Elasticsearch.
• Strong teamwork, logical thinking, and problem-solving skills, with the ability to drive cross-department collaboration efficiently.

Preferred Qualifications (Bonus Points):

• Experience in developing risk control systems related to banking, or internet finance.
• Hands‑on experience with big data or stream processing systems (e.g., Kafka, Flink, Spark, Hadoop).
• Practical experience in machine learning or statistical analysis, with familiarity in risk control rule engines and real-time computation technologies.
• Experience in risk control strategy design and data modeling, with the ability to support business teams in formulating risk control strategies.
• Experience in high-concurrency systems, with knowledge of distributed architectures and stream computing.