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

As a Senior Software Engineer, you will lead the design and technical implementation of a scalable, real-time collaboration digital platform for creating and editing rich, interactive content. You will lead the end-to-end technical implementation of a real-time collaborative ecosystem where analysts co-create production-grade reports with interactive, data-driven elements. Your work will directly support Singapore’s national security leaders in translating complex analysis into informed strategic decisions.

Responsibilities

• Lead the design and implementation of a real-time collaboration platform, including multi-user editing, conflict resolution, and state synchronization across distributed systems
• Drive and 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
• Design and lead the implementation of scalable microservices and APIs, ensuring performance, reliability, and consistency under high-concurrency workloads
• Manage and optimize data platforms and orchestration pipelines to ensure seamless data flow and system stability
• Mentor and guide engineers in technical design and implementation, driving architectural decisions and elevating overall code quality and engineering practices
• 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

Requirements (Minimum Qualifications)

• At least 5 years of software engineering experience, with a background in Engineering, Computer Science, or equivalent
• Proficient with full stack web technologies such as ReactJS, Spring Boot, PostgreSQL, MongoDB and MinIO
• Proficient 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
• Proficient with CI/CD processes, Infrastructure as Code (IaC), Git, Kubernetes, and deploying and operating applications in cloud environment
• Solid understanding of system architecture design, software engineering best practices, and scalable service development.
• Proven ability to lead agile teams or mentor junior engineers through code reviews and architectural guidance

Nice to haves

• 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
• Experience with observability tooling (e.g. Elastic stack, OpenTelemetry, Grafana)
• Familiarity with Elasticsearch, Neo4J, or similar graph/search technologies

Why join us?

• 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

As CSIT is an agency under the Ministry of Defence (Singapore), only Singapore Citizens will be considered.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.