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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Hong Kong, Hong Kong |
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Binance | Hong Kong, Hong Kong |
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Data Infrastructure Backend Engineer, Fiat
Asia / Hong Kong / Taiwan, Taipei / New Zealand, Auckland / New Zealand, Wellington / Australia, Brisbane / Australia, Melbourne / Australia, Sydney / South Korea, Seoul / South East Asia / Indonesia, Jakarta
Engineering – Backend /
Full-time: Remote /
Remote
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Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
Responsibilities
- Design, build, and maintain large-scale data infrastructure to support global fiat products, including on/off-ramp, payment channels, and compliance systems.
- Develop high-performance backend services using Java to support data ingestion, processing, storage, and real-time analytics.
- Own end-to-end data pipelines and internal platforms that enable monitoring, reporting, fraud detection, and operational insights for fiat transactions.
- Work with product, data, compliance, and risk teams to translate business needs into scalable system solutions.
- Optimize service performance, improve system reliability, and ensure data accuracy and consistency across distributed systems.
- Implement CI/CD, service observability (metrics, logs, tracing), and contribute to overall platform stability.
- Participate in technical design reviews, code reviews, and architecture discussions.
Requirements
- Solid backend engineering experience with strong proficiency in Java (Spring Boot / microservices).
- Hands-on experience building data infrastructure, including distributed data processing, data pipelines, and streaming systems.
- Familiarity with Kafka, Flink/Spark, Redis, MySQL/PostgreSQL, or other large-scale data storage and compute engines.
- Strong understanding of system performance, scalability, and reliability principles.
- Experience building services that support large volumes of financial or transactional data is a strong plus.
- Comfortable working in fast-paced, high-ownership environments; able to take projects from design to production independently.
- Experience with Web3/crypto or payments/fiat systems is a plus, but not mandatory.
- Good communication skills and ability to collaborate across engineering, product, and operations teams.
- Experience with big data technologies (Flink, Spark, ClickHouse, Elasticsearch, etc.)
- Understanding of financial data models, reconciliation, fraud signals, or compliance data flows.
- Familiarity with cloud-native infrastructure (Kubernetes, Docker).
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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