Full-Stack Developer Engineer (NUS FinTech Lab), School of Computing

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

• Technical Project Development

• Design and develop full-stack web or mobile applications for research, prototyping, and proof-of-concept initiatives, covering front-end, back-end, APIs, and databases.

• Translate research concepts into functional applications that deliver user value and data-driven insights.

• Co-lead and contribute to ongoing projects, including:

• Development and maintenance of a simulated trading platform, ensuring performance, reliability, and minimal downtime.

• Delivery of a Due Diligence Pipeline aligned with client requirements and timelines.

• Operation and maintenance of infrastructure supporting an XRPL validator and EVM sidechain, ensuring high availability and performance.

• Identify, troubleshoot, and resolve system issues proactively across the stack.

• Mentor and collaborate with interns, supporting the development and testing of prototypes and contributing to open-source knowledge assets in the financial ecosystem.

• Maintain well-structured documentation, research logs, and version tracking for all projects.

• Developer Community & Industry Outreach

• Build and maintain relationships with industry and academic partners through events, conferences, and collaborative initiatives.

• Organize and lead community engagement activities such as workshops, lab sessions, brownbag talks, and technical content (e.g., podcasts).

• Contribute to growing an active developer ecosystem around the lab's platforms and research.

• Research & Lab Support

• Support research initiatives related to open-sourcing the trading simulation platform, including:

• Validating methodologies and experimental design

• Coordinating experiments and simulations

• Collecting and integrating data from industry events and public datasets

• Performing data analysis using statistical and computational tools

• Participate actively in technical discussions, planning sessions, and cross-functional collaboration.

• Maintain and update the lab's Word

Press site with accurate and relevant content.

• Support the planning and execution of lab activities and initiatives.

Qualifications

• Strong full-stack development experience, with proficiency in modern front-end (e.g., React, Angular) and back-end frameworks (e.g., Node.js, Python). Solid understanding of APIs, databases (SQL/NoSQL), and scalable web architecture.

• Experience deploying and maintaining applications on cloud platforms (AWS, GCP, or Azure), including debugging, performance optimization, and ensuring system reliability. Familiarity with Docker and CI/CD is a plus.

• Ability to take ownership of end-to-end systems, from development to production, and to work effectively in both product and research-driven environment with evolving requirements.

• Fluent with AI tools, APIs and AI App developments.

• Familiarity with blockchain or distributed systems (e.g., XRPL, Ethereum) and/or strong interest in learning within the Fin

Tech domain.

• Proficiency in data handling and analysis (e.g., Python, R, SQL) to support experimentation and derive insights.

• Strong communication and collaboration skills, including the ability to mentor interns, contribute to technical discussions, and engage with external stakeholders or developer communities.

• Motivation and initiative to contribute to and grow a developer community, including organizing or supporting events, workshops, or technical content.

• Interest in Fin

Tech and willingness to contribute to both technical development and broader lab initiatives.

• Experience with Word

Press is a plus.
More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Dean's Office (School of Computing)

Employee Referral Eligible: No

Job requisition ID : 32180