обновлено 9 дней назад
Staff Software Engineer, Risk (Fintech)
200 - 330$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer, Risk (Fintech) (Java/Kotlin): Building high-concurrency risk and payment systems that detect fraud and secure transactions with an accent on distributed systems, microservices, graph technologies, ML, and LLM-based decisioning. Focus on designing resilient components, processing high-volume event streams, improving risk architectures, and solving adversarial fraud-detection challenges.
Location: Seattle, United States
Salary: $200–$330 base pay, plus potential bonus and other compensation.
Company
Airwallex is an AI-native financial operating system providing global payments infrastructure and financial products for businesses.
What you will do
- Develop and enhance payment products and transaction systems using Java and Kotlin.
- Design and build independent components on a microservice framework.
- Experiment with new technologies and propose architectural improvements.
- Collaborate with senior technical teams, other engineering groups, and global customers on risk management.
- Support and mentor less-experienced engineers in software practices and coding standards.
Requirements
- More than 8 years of core Java development experience and more than 5 years building internet applications, large financial systems, or e-commerce platforms.
- More than 3 years of experience developing risk or payment platforms.
- Bachelor’s degree in computer science or a related field.
- Strong Java expertise, including multithreading, high concurrency, I/O, NIO, and network communication.
- Experience designing and developing large-scale distributed, high-load, and highly available systems.
- Knowledge of Spring, Spring Boot, RESTful services, Gradle, Maven, JSON, and XML.
Nice to have
- Experience with risk management strategies and fraud detection in financial or fintech environments.
- Knowledge of graph databases, machine learning models, and predictive risk analytics.
- Experience with real-time streaming technologies such as Apache Kafka and Flink.
- Experience with ClickHouse, Spark, or NoSQL databases for large-scale data processing.
- Incident response, risk mitigation planning, strong problem-solving, and communication skills.
Culture & Benefits
- Work with risk infrastructure processing billions of events and supporting global financial transactions.
- US-based employees may receive medical, dental, and vision insurance, a 401(k) plan, disability coverage, life insurance, and well-being benefits.
- US-based employees receive 20 paid vacation days and 12 company holidays annually.
- Equal opportunity employment with accommodations available for candidates with disabilities or special needs.
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