Roles and Responsibilities

• Work closely with stakeholders to evaluate and recommend suitable technology and solutions while aligning to A*STAR’s technology directions, and to determine the implementation approach, such as build or buy, bespoke or COTS and in-house or outsourced.
• Design, develop, maintain & enhance existing and new software systems and AI-driven applications on-premises or in the Cloud.
• Participate in full System Development Life Cycle (SDLC) including requirement gathering and analysis, system design, development, testing, support, etc., with a strong focus on AI integration and agentic workflows.
• Apply Design Thinking/Service Design methodology and tools to develop and execute the approach to derive current state gaps and challenges, and future state design and solutions.
• As Project Manager (PM), perform user requirements gathering and analysis, and subsequently project manage the development/implementation of new systems and/or enhancements to existing systems, including leading systems integration and User Acceptance Testing.
• As System Manager (SM), constantly review the technical and business performance and fitness of existing systems and processes as part of day-2 operations and suggest improvements and ideas to increase efficiency and performance.
• Identify and keep abreast of latest cloud, software development and technology trends on new initiatives and emerging technologies. Investigate and develop skills in new technologies.

Requirements

• Bachelor of Computer Science / Computer Engineering or equivalent experience is required.
• Minimum 5 years of experience designing and developing complex large-scale enterprise projects.
• Experience in cloud-based application development using AWS and/or Azure.
• Experience in designing, developing, and deploying AI agents and applications.
• Strong programming skills in C#, ASP.NET, .NET 10, Entity Framework, LINQ, Angular, jQuery, Bootstrap, Python and AI Frameworks (e.g. LangChain, LangGraph, CrewAI, etc.)
• Familiarity with Scrum, DevOps practices and tooling e.g. unit testing, Git, CI/CD pipelines, etc.
• Certification as Cloud Solution Architect Associate or Developer by AWS or Azure is an advantage.
• Experience in project management, Docker or microservices is an advantage.
• Effective interpersonal skills including collaboration and team building; required to interact regularly with internal business stakeholders across all organizational levels and varying technical backgrounds.
• Strong analytical, planning, and organizational skills with the ability to manage competing demands.
• In-depth understanding of business requirements with the ability to establish and maintain high levels of customer trust and confidence.