Senior Software Engineer, Risk

The role

You will build and enhance payment products and transaction systems using Java or Kotlin. You will design components on a microservice framework and improve systems that protect products using graph databases, machine learning, and LLMs.

What you will do

• Drive architectural improvements across distributed, high-concurrency systems.
• Improve the reliability and scalability of payment products, transaction systems and risk-management capabilities.
• Build services that support the detection and mitigation of evolving fraud risks.
• Partner with senior engineers to raise software engineering practices and coding standards.
• Mentor less-experienced engineers and help strengthen the team's technical capability.

Required qualifications

• More than four years of core Java development experience.
• More than five years of experience building internet applications, large financial systems or e-commerce platforms.
• More than three years of experience developing risk or payment platforms.
• A bachelor's degree in computer science or a related discipline.
• Strong proficiency in Java, including Java multithreading, high concurrency, I/O, NIO and network communication.
• Experience with common design patterns and the design and development of large-scale, distributed, high-concurrency, high-load and highly available systems.
• Strong knowledge of server technologies, including service-response and data-query optimisation, service quality and high-concurrency and high-availability problem solving.
• Familiarity with Spring, Spring Boot and RESTful services.
• Experience with Gradle, Maven or other build tools.
• Familiarity with JSON and XML.

Nice to have

• In-depth knowledge of risk-management strategies and fraud-detection techniques, particularly in financial services or fintech.
• Familiarity with graph databases and their use in pattern and anomaly detection.
• Experience with machine-learning models and frameworks for predictive risk analytics.
• Familiarity with real-time data-streaming technologies such as Apache Kafka or Flink.
• Strong data-analytics skills, with experience using ClickHouse, Spark or NoSQL databases for large-scale data processing and risk analysis.
• Advanced problem-solving skills, including experience with incident response and risk-mitigation planning.
• Strong communication skills, with a collaborative approach to working with teammates and partners.

About the company

Airwallex is an AI-native financial operating system for a real-time, intelligent economy. It provides financial infrastructure for over 675,000 businesses globally.