Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Backend Engineer (JVM/Fintech): Building and optimizing backend services for FX pricing, execution, and risk management with an accent on performance, correctness, and reliability. Focus on evolving the FX platform architecture using microservices, Kafka, and gRPC to ensure low latency and high throughput.
Location: Must be based in Melbourne
Company
Airwallex is a unified payments and financial platform for global businesses, providing integrated solutions for business accounts, payments, and treasury management.
What you will do
- Design, build, and own backend services for FX pricing, execution, and risk management.
- Evolve FX platform architecture using microservices, event-driven workflows, Kafka, and gRPC.
- Implement and maintain robust controls for pricing, limits, risk, reconciliation, and monitoring.
- Handle the end-to-end feature lifecycle from requirements and solution design to deployment and runbooks.
- Collaborate with Product, Treasury, and Risk teams to design observable and backward-compatible APIs.
- Participate in on-call rotations to ensure the FX platform remains highly available and reliable.
Requirements
- 5+ years of experience building and operating production backend systems.
- Strong proficiency in JVM languages such as Kotlin or Java.
- Solid understanding of distributed systems fundamentals, including concurrency and data consistency.
- Experience with REST/gRPC APIs and persistence layers using PostgreSQL or key-value stores.
- Proficiency with event-driven architectures and message brokers like Kafka.
- Must be based in Melbourne.
Nice to have
- Experience in financial services, FX pricing, execution, or risk management.
Culture & Benefits
- Opportunity to work at a high-growth company valued at $8 billion with a global presence.
- Culture of ownership and "founder-like energy" with an emphasis on real impact.
- Collaborative environment with a team of over 2,200 innovative people across 26 offices.
- Focus on using AI to work smarter and solve complex problems faster.
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