Binance

Frontend Engineer

• Spearhead the implementation of new technologies to solve problems and improve existing systems, encourage standardization of best practices & methodologies
• Fine-tune the technical stack with a focus on performance, security, stability, and scalability
• Write client-side code to create super-fast, easy-to-use, web-based applications which include websites for both desktop and mobile browsers, and hybrid in-app pages
• Participate in design discussions and roadmap planning
• Review and support frontend technical designs across teams to maximize speed and scale
• Build libraries and frameworks that support complex web applications, speedup development efficiency, and improve code quality
• Coach, mentor, and grow team members

Senior Frontend Engineer – Staff/Tech Lead

Security Engineer

• Support the project manager in coordinating with cross-functional teams on requirements gathering, evaluation, analysis, and reporting across internal projects.
• Develop a strong understanding of business operations to respond quickly to business needs and efficiently manage information collection, organization, and other tasks during cross-functional collaboration.
• Conduct regular assessments of project outcomes using appropriate tools, systems, and evaluation techniques.
• Build and enhance reporting metrics to support data-driven decision-making and performance tracking.
• Create and maintain comprehensive project documentation.
• Develop, write, edit, and optimize content for both technical and non-technical audiences, ensuring clarity, structure, accuracy, and consistency across materials.
• Support content creation initiatives by conducting research, synthesizing information, and producing high-quality written materials for internal and external use.
• Track platform content engagement metrics (impressions, views, likes, comments, shares/reposts) and iterate based on feedback and data.
• Other duties as assigned.

Security Project Manager

Product Manager

• Manage follow-up communications with all stakeholders to ensure proposed actions are effectively implemented.
• Monitor detailed reports and systematic tracking systems to monitor progress for better transparency and productivity.
• Evaluate product performance data by tracking key metrics. Collaborate with internal stakeholders to address any performance gaps and drive continuous improvement.
• Assist in the process of developing automation processes that increases efficiency and ensure compliance with security, privacy, and regulatory standards.

Product Manager – Search, Trading Insights

DevOps Engineer

• Deploy and manage security services across our infrastructure
• Deploy and manage crawler applications internally
• Participate in DevOps operations, such as Kubernetes and AWS operations
• Collaborate with cross-functional teams to integrate security into the development lifecycle
• Automate processes and implement CI/CD solutions

Software Engineer – DevOps, Data

Data Analyst

• Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments
• Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits
• Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives
• Be part of a fast-paced industry and organisation where time to market is critical

Business Intelligence, Data Analyst

• Assist in the development and maintenance of our products, using frontend tech stack (TS, React, etc) and NodeJS.
• Collaborate closely with Binance Wallet team and local team to ensure seamless implementation of new features and user interfaces.
• Work with cross-functional teams (such as security, IT, infra, etc) to identify and solve other issues.
• Continuously learn and keep up-to-date with the latest front-end technologies and best practices.

Frontend Engineer, Binance Accelerator Program

Blockchain Engineer

• Provide advanced (Tier 3) technical support, ensuring fast issue identification, resolution, and escalation when needed.
• Work closely with Tier 1 and Tier 2 support, DevOps, and backend developers to solve code-level and system-level issues.
• Design, develop, and maintain internal automation tools to optimize workflow and reduce manual processes.
• Build dashboards and monitoring solutions to track system performance and incident trends.
• Collaborate with backend teams using Java / Spring Boot to troubleshoot and enhance APIs and microservices.
• Document troubleshooting processes, root cause analyses, and best practices for the internal knowledge base.
• Support incident management, ensuring 24/7 stability of Binance’s trading platform and related systems.
• Continuously explore new technologies and best practices in backend, automation, and Web3 infrastructure.

Technical Support Engineer, Blockchain, Backend

Technical Support Engineer – Blockchain, Backend Development

Product Operations

• Support middle office and operations activities for the derivatives business unit.
• Assist in calibrating trading parameters and maintaining product specifications.
• Help execute structured workflows and processes to support alignment across regional and global teams.
• Monitor daily operational tasks, identify issues or inefficiencies, and propose improvements.
• Work with internal tools (AI, automation, and technical solutions) to streamline workflows and improve efficiency.
• Support investigation and resolution of operational issues, ensuring timely follow-up and escalation when needed.
• Coordinate with internal stakeholders (trading, product, tech, risk, ops) to ensure smooth execution of derivatives operations.

Product Operations, Derivatives

• Manage the trading systems on the backend portal that configures and controls trading logic.
• Translate complex business requirements into clear technical product specifications for engineering implementation.
• Work closely with engineering teams to deliver system improvements with high accuracy, stability, and scalability.
• Manage key trading logic configurations, examples like contract parameters, leverage/margin rules, liquidation, funding- rates, and risk limits.
• Partner with Trading Risk, Product Operations, and Business stakeholders to ensure system updates/enhancements are safe, compliant, and well-governed.
• Monitor system performance and incidents, support troubleshooting, and drive continuous optimization of internal workflows and controls.

Product Manager, Trading Systems

Software Engineer

• Design and build AI agent workflows and LLM-powered systems for real business use cases
• Develop and integrate tools for agents, including APIs, internal services, databases, knowledge sources, and operational systems
• Improve agent quality, latency, reliability, safety, and cost through testing, evaluation, and iteration
• Build prompt structures, orchestration logic, memory or retrieval patterns, and human handoff flows where needed
• Collaborate with product, business, and operations teams to translate ambiguous business problems into practical AI solutions
• Contribute to backend services, internal platforms, and lightweight interfaces to support end-to-end delivery
• Help define reusable engineering patterns, guardrails, and evaluation approaches for production AI agents

AI Agent Developer

Sales

• Acquiring and developing trust relationships with a portfolio of major clients (global institutional/VIP clients)
• Expanding the relationships with existing customers by sustained communication, understanding of their needs
• Building key customer service processes and systems, formulating management rules, and tracking the status of key customers
• Analysis of user behavior, finding hidden needs, writing key customer analysis reports, and communicating with various departments to provide optimal key customer service solutions and product feedback

Institutional Sales, Binance Accelerator Programme – SEA

Artificial Intelligence

Talent Program – AI Agent Engineer

• Support the design and development of AI agent workflows and LLM-powered application components
• Build and test prompt strategies, retrieval flows, tool-use logic, orchestration patterns, and backend integrations
• Assist in defining evaluation metrics, running benchmarks, and analyzing failure cases
• Improve system performance across quality, latency, reliability, safety, and cost
• Use AI coding tools as a normal part of your workflow to accelerate development and problem-solving
• Collaborate with engineers and cross-functional teams to understand how production AI systems are designed, deployed, and improved
• Contribute to backend services, APIs, internal tools, or lightweight user interfaces when needed

Applied AI Agent Engineer

Compliance

• Partner with Product, Compliance, and Customer Support teams to ensure training content is accurate, relevant, and aligned with business and regulatory priorities
• Support global stakeholders across different regions and time zones
• Design and develop engaging learning materials (e-learning modules, guides, tutorials, job aids)
• Leverage AI tools (e.g., generative AI, content automation, voice/video tools) to enhance content creation, personalization, and scalability
• Support the development of interactive and scenario-based learning experiences
• Coordinate and support virtual and in-person training sessions, workshops, and labs
• Enhance learner engagement through modern delivery techniques and digital tools
• Track employee completion of mandatory training programs using LMS tools
• Follow up with employees and stakeholders to ensure timely completion and compliance adherence
• Measure training effectiveness through data analysis, feedback, and assessment results
• Generate insights to improve learning outcomes and support continuous improvement initiatives
• Provide personalized support to employees facing challenges in completing training
• Recommend alternative learning approaches or resources to improve completion rates and engagement
• Explore and implement AI-driven learning solutions within the team (e.g., adaptive learning, automated content generation, AI chatbots)
• Continuously identify opportunities to improve efficiency, scalability, and learner experience through technology
• Assist the QA & Training Manager with ongoing projects and strategic initiatives