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
4 Hours Ago
Fintech • Information Technology • Software • Financial Services
Lead and grow a regional institutional sales team for DBS Digital Exchange, driving revenue, onboarding institutional clients, managing liquidity and P&L, cross-selling digital asset products (trading, custody, derivatives, security tokens), providing market intelligence, and building a sustainable regional institutional client base.
Fintech • Information Technology • Software • Financial Services
Design, build, and maintain real-time, secure distributed systems and observability UIs/APIs. Implement CI/CD, containerized deployments (Docker/Kubernetes/OpenShift), integrate observability stack (Elasticsearch/Logstash/Grafana), and apply secure coding and API security standards to ensure reliability, performance, and incident automation. Collaborate in Agile teams and explore AI to improve resiliency.
Top Skills:
Agentic AiCi/CdDockerElasticsearchGrafanaJava Spring BootKafkaKubernetesLogstashMariadbNode.jsOauth2OpenshiftReactSecrets Management
Fintech • Information Technology • Software • Financial Services
Lead customer experience and change initiatives for the Customer Centre: develop customer-obsession strategies, analyze data, facilitate design-thinking workshops, support campaigns and business reviews, drive process improvement, enable Gen AI-led quality improvements, and manage change to ensure KPI targets and successful adoption of new ways of working.
Top Skills:
Gen Ai
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
