• 智能合约开发与部署：负责 Solana、Tron、TON、Sui 等区块链平台的智能合约设计、开发和部署，确保合约的安全性和高效性。 • 智能合约优化：对现有智能合约进行性能优化和安全审计，提升合约的执行效率和安全性 • 基于 Polkadot Substrate 进行公链底层架构设计与开发。 • 开发和优化区块链核心模块（共识层、网络层、存储层、虚拟机等） • 参与技术方案评审，编写技术文档和设计文档 • 跟踪区块链前沿技术，推动技术创新

• Design and implement RESTful and GraphQL APIs in Node.js and Java/Spring Boot • Document with Swagger and test with Postman • Build event‑driven services and consumers/producers on Apache Kafka • Deliver microservices with clear domain boundaries, API versioning, and backward compatibility • Ship accessible, performant UI with React and Next.js (SSR/SSG, routing, caching) • Build reusable front end components; author maintainable styles with CSS/SCSS • Integrate front‑end apps with GraphQL clients and Content Management System like Adobe Experience Manager • Deploy to Azure/GCP; considering observability (logs, metrics, traces), feature flags and manage secrets securely • Partner with security on VITS remediation, dependency vulnerability scanning (SCA), static/dynamic testing (SAST/DAST), and OWASP best practices • Uphold engineering excellence with unit/integration/contract tests (JUnit, Mockito, Jest), performance profiling, and SonarQube quality gates • Model and query data across PostgreSQL and NoSQL; own schema evolution, migrations, and performance tuning

• Independently perform both routine and complex business support tasks for the Plan Sponsor Support team, escalating non-standard issues to management as needed. • Adhere to established protocols, standards, and policies to ensure timely and effective operational support within a fast paced environment with tight turnaround times. • Evaluate whether customer-selected products and services align with their benefit needs and can be delivered through current systems or platforms; facilitate solutions for exceptions or non-standard requests. • Actively consults and communicates with internal constituents regarding the details associated with the new business and revision activity in a timely manner to validate and strengthen account structure. • Execute assigned techniques, processes, and responsibilities as directed.

• Development and implementation Backend service for the AI Chatbot products. • Build large scale software system, which can impact daily life of millions of customers. • Explore and integrate the LLM applications to improve chatbot performance and user experience. • Underlying infra/arch upgrade performance tuning, online incidents troubleshooting, and system refactoring. • Write high-quality, clean, and maintainable code using engineering best practices guide junior engineers’ daily work and do knowledge share, etc.