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abeam analytics pte. ltd.

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Software Engineer

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Summary

Senior software engineer at a consulting firm building and delivering secure full-stack enterprise platforms for Singapore government and enterprise clients: backend services with C#/.NET or Python/FastAPI, modern frontends (Vue 3/Nuxt/Angular), Azure/AWS cloud architecture, and production Generative AI/RAG capabilities, with heavy emphasis on government security and compliance (IM8).

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 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.

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