Design and build backend microservices for real-time fraud detection, transaction monitoring, and risk analysis. Integrate ML models and risk scoring engines, support scalable distributed systems, and leverage AI-assisted development and LLM/agent tools for risk automation.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ 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
- 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.
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.
Similar Jobs
Edtech
Conduct external quality assurance audits of approved centres to verify compliance with LanguageCert policies and regulatory requirements, perform announced/unannounced visits, complete audit reports, identify and monitor non-compliance, investigate malpractice, provide guidance to centres, attend training, and maintain Health & Safety and professional conduct.
Professional Services • Real Estate • Consulting
Manage and support delivery of data centre projects through lifecycle: research, planning, scheduling, progress tracking, change control, reporting, stakeholder liaison, and meeting coordination.
Top Skills:
Ms ProjectPrimavera
Blockchain • Fintech • Software • Cryptocurrency • Metaverse
Lead end-to-end QA for Fiat/BigPay: plan tests, design and execute cases across App/Web/Backend/Admin, maintain Python pytest+k6 automation framework, drive feature and edge-case testing, and collaborate cross-functionally to close quality loops.
Top Skills:
K6PytestPython
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

