Responsibilities
- Develop backend services for real-time fraud detection, transaction monitoring, and risk analysis.
- Build and maintain scalable microservices to support risk assessment models and rule-based detection systems.
- Integrate machine learning models and risk scoring engines into backend systems.
- Participate in AI-assisted development initiatives, including automated code generation, intelligent alerting, and integration of LLM-powered risk operations tools.
Requirements
- Proficiency in Java (Spring Boot), basic frameworks, such as multithreading and networking.
- Understanding of distributed systems, and Spring microservices, dubbo.
- Experience with SQL & NoSQL databases (MySQL, Redis, Hive, Starrocks).
- Familiarity with message queues & streaming (Kafka, RabbitMQ).
- Enthusiasm for and hands-on experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor, or similar coding assistants); ability to leverage AI to accelerate code generation, code review, and unit test coverage.
- Basic understanding of how LLM/Agent systems work and how they integrate into backend services; interest in building or iterating AI-powered risk automation features.
- Familiarity with prompt engineering concepts and the ability to work alongside AI models in daily development workflows.
- Strong analytical thinking, excellent teamwork skills, and a keen ability to learn and adapt quickly.
Skills Required
- Proficiency in Java and Spring Boot, with multithreading and networking fundamentals
- Understanding of distributed systems, Spring microservices, and Dubbo
- Experience with SQL & NoSQL databases (MySQL, Redis, Hive, Starrocks)
- Familiarity with message queues and streaming (Kafka, RabbitMQ)
- Hands-on experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor)
- Basic understanding of LLM/Agent systems and integration into backend services
- Familiarity with prompt engineering concepts
- Strong analytical thinking, teamwork, and ability to learn and adapt quickly
Binance Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Binance and has not been reviewed or approved by Binance.
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Career-Linked Recognition & Rewards — Performance-linked bonuses can be sizable in favorable crypto cycles, lifting total compensation. Attractive packages in engineering and specialized roles indicate strong rewards for in-demand skills.
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Flexible Benefits — Remote-first flexibility and work-from-anywhere options add meaningful value to the overall rewards package. Flexible schedules and location independence are presented as core perks.
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Retirement Support — Binance.US includes a 401(k) as part of its benefits. This provides a conventional retirement pillar alongside cash and bonus components.
Binance Insights
What We Do
Binance is the world’s leading blockchain and cryptocurrency infrastructure provider with a financial product suite that includes the largest digital asset exchange by volume. Trusted by millions worldwide, the Binance platform is dedicated to increasing the freedom of money for users, and features an unmatched portfolio of crypto products and offerings, including: trading and finance, education, data and research, social good, investment and incubation, decentralization and infrastructure solutions, and more. For more information, visit: https://www.binance.com





