Full Stack Engineering Team Lead, Advisory, Wealth Management

Job description

DBS Tech China is seeking an exceptional full stack engineering team lead to join our Advisory technical team in Wealth Management Technology department. This pivotal role will contribute to drive the overarching engineering, architecture, and product strategy at a platform level, shaping the future of our digital, advisory, and discretionary investment journeys for millions of customers across retail, affluent, and private banking segments. You will manage a significant engineering organization, foster innovation, and operate with a long-term strategic vision across digitally managed portfolios and professionally managed discretionary mandates. Responsibilities Design solutioning for enterprise-grade portfolio and wealth management platforms, ensuring scalability, resilience, and future-proofing. Engineering and build end-to-end portfolio solution, including: Digital / low-touch investment portfolios Advisory-guided portfolios Discretionary Portfolio Management (DPM) mandates for HNW and UHNW Lead the design, development, and delivery of complex full-stack solutions that underpin critical portfolio management journeys (portfolio modelling, portfolio constructions, automated/semi-automated rebalancing, mandate management etc) across a wide array of products (Bonds, Structured Products, Equities, etc.). Oversee and manage up to 2 squads of highly skilled full-stack engineers, providing strategic direction, technical guidance, and fostering a culture of innovation and excellence. Champion the adoption of cutting-edge technologies, distributed micro-frontend architectures, and advanced engineering practices to build world-class platforms. Enforce best practices for CI/CD, DevOps, and deployment strategies utilizing platforms like OpenShift Container Platform (OCP), ensuring operational excellence and rapid delivery. Nurturing and developing engineering talent, including setting performance expectations, providing mentorship, and promoting continuous learning. Evaluate and integrate AI assistant coding tools and other emerging technologies into the development ecosystem to maximize efficiency and innovation. Requirements Experienced in building, and delivering large-scale, enterprise-grade full-stack platforms using Java, ReactJS, and Python. Proven expertise in designing, implementing and operate mission-critical investment and portfolio managements system that serve millions of users, with a focus on high availability, low latency and strong operational resilience. Deep architectural knowledge of distributed systems, micro-services, and advanced micro-frontend patterns. Mastery of CI/CD methodologies, advanced DevOps practices, and significant experience with cloud-native deployment platforms such as OpenShift Container Platform (OCP) or similar. Ability to lead and inspire multiple engineering squads and drive large-scale technical initiatives. Strong strategic thinking and planning capabilities, with a proven ability to define and execute long-term technology roadmaps. Demonstrated experience in leveraging and integrating AI assistant coding tools and other innovative technologies to enhance engineering productivity and capabilities. A Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field; an advanced degree is a plus. Technical skills: Strong proficiency in JavaScript/Typescript, including DOM manipulation and the JavaScript object model Strong proficiency in CSS Thorough understanding of React.js and its core principles Experience on building complex React App Experience with popular React.js workflows (such as Flux or Redux) Experience with popular unit testing frameworks/libraries(such as Jest/Vite/React Testing Library/Enzyme) Experience with Redux Saga/RTK/RTK Query Familiarity with newer specifications of ES6 Knowledge of isomorphic React is a plus Familiarity with RESTful APIs Knowledge of modern authorization mechanisms, such as JSON Web Token Familiarity with modern front-end build pipelines and tools Experience with common front-end development tools such as Rspack, Esbuild, Webpack, NPM, etc. Ability to understand business requirements and translate them into technical requirements A knack for benchmarking and optimization Familiarity with code versioning tools such as Git. Experience on using AI tool: Claude code/Codex/… Have good knowledge on Java, Spring Boot, Microservices Architecture. Build micro-services using SpringBoot, single page application using React and others. Implement core practice of Agile, leveraging cloud native architecture pattern using Test Driven Development (TDD), continuous integration/continuous delivery, in an on-premise or public-cloud environment, where everything is automated. Location: Guangzhou (DTC) Job: Technology Schedule: Regular Employee Status: Full time