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Software Engineer (Real-time Collaborative Platform – Full Stack)

As a Software Engineer, you will be part of a multi-disciplinary product development team that develops and implements a scalable, real-time collaborative digital platform for crea

Job Full source details
Csit Singapore, Singapore, Singapore Source published Sep 20, 2026 Verified 13 hours ago
✓ 100% verification score · Source: Csit (lever) · Always confirm final requirements on the original source.
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EmploymentFull-time

Overview

As a Software Engineer, you will be part of a multi-disciplinary product development team that develops and implements a scalable, real-time collaborative digital platform for crea

Full job description

As a Software Engineer, you will be part of a multi-disciplinary product development team that develops and implements a scalable, real-time collaborative digital platform for creating and editing rich, interactive content. This platform is highly critical for enabling analysts to co-author data-driven reports and interactive visualisations. Your work will directly support Singapore’s national security leaders in translating complex analysis into informed strategic decisions.

Implement and enhance real-time collaboration features, including multi-user editing, conflict resolution, and state synchronization across distributed systems

Engineer interactive content experiences by developing interactive data storytelling capabilities, enabling users to create and embed dynamic charts, maps, visualizations, and data-driven content within reports

Develop scalable microservices and APIs, ensuring performance, reliability, and consistency under high-concurrency workloads

Participate in technical design discussions, proposing ideas and learning best practices in system architecture and implementation

Collaborate with product, design, and end-users to bridge the gap between complex data analysis and intuitive user experiences

Explore and prototype AI-driven features such as AI-assisted copyedit/proofreading, metadata tagging, cross-report reference validation and agent-based workflow to enhance content reliability and efficiency

At least 2 years of software engineering experience, with a background in Engineering, Computer Science, or equivalent

Experience with full stack web technologies such as ReactJS, Spring Boot, PostgreSQL, MongoDB and MinIO

Experience in backend or frontend development (e.g. Java/Spring Boot or React/TypeScript), with the ability and willingness to learn new languages and frameworks as needed.

Experience with databases such as RDBMS, NoSQL, and object storage

Experience with CI/CD processes, Infrastructure as Code (IaC), Git, Kubernetes, and deploying and operating applications in cloud environment

Good understanding of system architecture design, software engineering best practices, and scalable service development.

Software development experience with agile practices

Familiarity with AI-driven development, such as building or integrating LLM-powered features, agent-based workflows, or automation tools.

Experience with WebSockets, OT (Operational Transformation), rich-text engine customization

Familiarity with AI-driven development, such as building or integrating LLM-powered features, agent-based workflows, or automation tools.

Familiarity with modern frontend tooling (e.g. Vite, Nx), and/or working within large-scale or monorepo codebases

You are, and can continue to be one of the sharpest engineering minds that builds, innovates, and translates technologies into future-proofed digital solutions with precision and agility

You will have plenty of opportunities to deepen your domain expertise while developing adjacent areas of interest and competencies as part of this diverse community

The products you lead to develop, together with us, will lay one of the core foundations for the next-generation decision-enablement product for our business users

You, too, believe in harnessing data and best-in-class technologies to deliver simple, yet sophisticated products that power our analysts and leaders for the long run

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