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# Staff Software Engineer, Risk

- **Company:** Airwallex US, LLC
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Big Data, Payment Systems, Fraud Prevention and Detection, Gradle, Graph Database, JSON, Machine Learning, Apache Maven, Network Service, NoSQL, Real-Time Operating Systems, Software Engineering, Web Applications, Extensible Markup Language (XML), Multithreading, System Availability, Large Language Models, Concurrency, Apache Spark, Spring-boot, Kotlin, Information Technology, Apache Flink, Data Analytics, Real Time Data, Apache Kafka, Build Tools, Video Streaming, Vertica, Restful APIs, Microservices
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-software-engineer-risk-seattle-wa--86caa138-8c25-4c1c-8fa3-776ddd0f9ea0

## About the Role

Software Engineering, Risk, Financial Operations, Artificial Intelligence (AI), Financial Systems, Realtime Operating System, Risk, Machine Learning, Java, High Availability, * 8+ years of core Java development experience and 5+ years building internet applications, large-scale financial systems, or e-commerce platforms.

 * 3+ years of experience developing risk or payment platforms.
 * A bachelor's degree in computer science or a related field.
 * Strong proficiency in Java, including multithreading, high concurrency, I/O or NIO, and network communication.
 * Experience designing and developing large-scale distributed, high-concurrency, high-load, and highly available systems.
 * Strong knowledge of server technologies and experience optimising service response, data queries, service quality, concurrency, and availability.
 * Experience with Spring or Spring Boot and RESTful services.
 * Experience with Gradle, Maven, or other build tools.
 * Familiarity with JSON and XML.
 * Experience working effectively with senior technical stakeholders and mentoring less-experienced engineers., * In-depth knowledge of risk management strategies and fraud detection techniques, particularly in financial services or fintech.
 * Familiarity with graph databases and using them for pattern and anomaly detection.
 * Experience with machine learning models and frameworks for predictive risk analytics.
 * Experience with real-time data-streaming technologies such as Apache Kafka or Flink.
 * Strong data analytics skills, including experience with ClickHouse, Spark, or NoSQL databases for large-scale data processing and risk analysis.
 * Experience with incident response and risk mitigation planning.
 * Strong communication and collaboration skills.

You'll thrive here if

 * You're comfortable owning the roadmap yourself.
 * You're comfortable making decisions with incomplete information and moving quickly anyway.
 * You're comfortable operating across time zones with a globally distributed team, including colleagues based in APAC and EMEA.
 * You value in-person collaboration and are happy being in the office three days a week.
 * You simplify complexity rather than hiding behind it.

## Description

Our mission is to keep Airwallex's products and services safe and secure while making Airwallex a trusted partner for businesses around the world. You'll build risk capabilities across payment products and transaction systems, working with graph technologies, machine learning, and LLMs.

 * Own the design and development of highly available, high-concurrency components within our microservice architecture using Java or Kotlin.
 * Improve fraud detection, risk decisioning, and alert triage through graph technologies, machine learning, and LLMs.
 * Partner with senior technical leaders and globally distributed teams across Seattle, Singapore, and China to strengthen our approach to risk management.
 * Experiment with new technologies and turn architectural improvements into stronger, more scalable systems.
 * Raise engineering standards by mentoring less-experienced engineers and promoting strong software practices.