Software Engineer (Corporate Data Tech)

About the role

A product team within CSIT, an agency under the Ministry of Defence (Singapore), is looking for Software Engineers to build digital products that improve organizational effectiveness and workforce productivity. You will design and deliver scalable enterprise applications that manage corporate data end-to-end, from ingestion to serving it to internal business consumers and applications, including opportunities to use AI to unlock insights and efficiencies.

The team builds cloud-native web applications that integrate with enterprise systems of record, works in agile sprints, and focuses on user-centric products that meet real business needs.

Key responsibilities

• Design and build full-stack applications using AI coding tools throughout the SDLC and hands-on development.
• Build reliable APIs and integrations connecting digital products to enterprise systems.
• Write and maintain high-quality, maintainable code.
• Write and maintain technical documentation such as ADRs and RFCs.
• Build CI/CD pipelines and ensure observability through logging, metrics and monitoring.
• Take part in sprint cycles through peer code reviews, user engagement and proactive issue resolution.
• Share best practices, publish internal tech blogs and lead knowledge-sharing sessions.
• Design and maintain pipelines that securely move, transform and sync data across disparate networks.

Required profile

• Degree or professional qualification in Computer Science, Software Engineering, Information Systems or a related field.
• At least three years of software engineering experience may be considered for senior positions.
• Comfortable working in small, fast-moving teams.
• Only Singapore Citizens are considered, as CSIT is a Ministry of Defence agency.

Required skills

• Familiarity with modern web development with Spring Boot, React and Python.
• Familiarity with relational databases (e.g. MSSQL) and NoSQL databases (e.g. MongoDB).
• Familiarity with search engines (e.g. Elasticsearch) and observability tooling (e.g. OpenTelemetry).
• Plus: experience integrating LLM and agentic AI; microservices, event-driven architecture, API design, data pipelines, ETL and data synchronization.