We are seeking a Senior Software Engineer todesign and deliver secure enterprise digital platforms for government and enterprise clients. The role covers end-to-end full-stack development, secure application delivery in Singapore Government environments and cloud-basedsolution development across Microsoft Azure and AWS. A key part of the role involves building and integrating production Generative AI and RAG-based capabilities into enterprise applications. The successful candidate will work closely with clients, government agencies and internal teams to translate business requirements into practical, maintainable software solutions.
Roles &Responsibilities
EnterpriseSoftware & Full-Stack Development
- Design,develop and deliver secure enterprise web applications from solution designthrough deployment and production support.
- Develop backend services, APIs, databases and modern frontend applications.
- Contribute to system architecture, technical design, integration and continuous improvement, following automated testing, code review, CI/CD, and DevSecOpspractices.
- Lead technical solution delivery and mentor engineers while remaining hands-on indevelopment.
Secure Government & EnterpriseSolutions
- Deliver secure digital solutions for government and enterprise clients.
- Apply security and compliance requirements throughout the software developmentlifecycle, including secure coding, authentication and authorization, access control and data protection.
- Support security assessments, audits and remediation activities.
Cloud & Solution Architecture
- Design,develop, deploy, and support cloud-based solutions across Microsoft Azure and AWS.
- Work with cloud-native, containerized, serverless, event-driven, and distributed application architectures.
- Integrate enterprise systems and cloud services to deliver scalable and maintainable solutions.
Production Generative AI
- Build and integrate production Generative AI and RAG-based capabilities into enterprise applications.
- Develop AI-powered solutions such as intelligent document processing and enterprise knowledge applications.
- Contribute to the quality, reliability and continuous improvement of AI-enabled applications.
Stakeholder Engagement
- Engage with clients, government agencies and business stakeholders to understand requirements and define suitable technical solutions.
- Participatein solution discussions, demonstrations, technical presentations, and requirement clarification.
- Translate business needs into practical and maintainable software solutions.
Requirements
Mandatory Requirements
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related discipline.
- At least 7 years of professional software engineering experience delivering enterprise web applications and software solutions end-to-end, using technologies such as C#/.NET/ASP.NET Core and/or Python/FastAPI.
- Experience delivering enterprise software solutions for Singapore Government agencies or government-related organizations.
- Working experience with Singapore Government security and compliance requirements,including IM8-related requirements, secure application development,authentication and authorization, access control, data protection, and security audit remediation.
- Strong hands-on experience in Azure and/or AWS, with the ability to work acrossmulti-cloud environments.
- Experience building and delivering production Generative AI solutions — such as enterprise search, document intelligence, knowledge assistants, workflow automation, oragent-based applications — including practices such as AI evaluation, retrieval optimization and responsible AI considerations.
- Professional frontend development experience using modern frameworks such as Vue 3, Nuxt,Angular or equivalent technologies.
- Experience leading small engineering teams, mentoring engineers or owning technicalsolutions end-to-end.
Preferred Requirements
- Relevant cloud, AI, or architecture certifications such as Microsoft Azure DeveloperAssociate, Azure AI Engineer Associate, Databricks Certified Generative AIEngineer Associate, AWS certifications, or equivalent qualifications.
- Experience with Generative AI platforms and tools such such as Azure AI Foundry, Azure OpenAI,AWS Bedrock, LlamaIndex, LangChain, Azure AI Search, or Microsoft CopilotStudio.
- Experience with containerization, serverless technologies and CI/CD platforms such as Docker, Azure Functions, AWS Lambda, Azure DevOps or GitLab CI/CD.
- Experience delivering enterprise solutions across sectors such as logistics, e-commerce, education or other regulated environments.