Software Engineer

Abeam Analytics; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Abeam Analytics in Singapore is seeking a Senior Software Engineer to design and deliver secure enterprise digital platforms for government and enterprise clients. You will perform end-to-end full-stack development, integrate production Generative AI and RAG-based capabilities, and work across Azure and AWS.

The role emphasizes secure coding, multi-cloud architectures, and collaborations with government agencies and internal teams to translate complex requirements into practical software

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related discipline.
• 7+ years of professional software engineering delivering enterprise web applications end-to-end using 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 development, authentication/authorization, access control, and data protection.
• Strong hands-on experience in Azure and/or AWS, across multi-cloud environments.
• Experience building production Generative AI solutions such as document processing, knowledge assistants, and AI-enabled workflows.
• Frontend development experience with Vue 3, Nuxt, Angular or equivalent.
• Experience leading small engineering teams, mentoring engineers or owning technical solutions end-to-end.

Responsibilities

• Design, develop and deliver secure enterprise web applications from solution design through deployment and production support.
• Develop backend services, APIs, databases and modern frontend applications.
• Contribute to system architecture, technical design, integration and continuous improvement with CI/CD and DevSecOps practices.
• Lead technical solution delivery and mentor engineers while remaining hands-on in development.
• Deliver secure digital government and enterprise solutions, ensuring compliance throughout the SDLC.
• Design, develop, deploy and support cloud-based solutions across Microsoft Azure and AWS.
• Build production Generative AI and RAG-based capabilities into enterprise applications.

Skills

Full-stack dev

Mentoring

Multi-cloud

Education

Bachelor's degree in CS/IT/SE

Tools

Docker

Azure DevOps

GitLab CI/CD

Azure Functions

AWS Lambda

Job description

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.