Centre for Strategic Infocomm Technologies
Software Engineer (Finance & Procurement Tech)
We are looking for talented Software Engineers to build digital products to enhance organizational effectiveness and drive workforce productivity. You will be part of product team building budget-to-pay digital products to streamline finance and procurement workflows, with opportunities to incorporate AI-enabled features. Your mission is to build robust, scalable enterprise applications where accuracy, data integrity, security, and precision are the top priorities.
Our product teams build cloud-native web applications that integrate with enterprise systems of record and other business applications. Our teams adopt an agile delivery approach, with a strong focus on building user-centric digital products that address real business needs.
Responsibilities
- Design and build full-stack applications using AI coding tools and hands-on development.
- Build reliable APIs and integrations that connect digital products to enterprise systems.
- Deliver high-quality, and maintainable code.
- Collaborate with cross-functional teams to translate business requirements into scalable and reliable technical solutions
- Author and maintain technical documentation (e.g. ADRs and RFCs).
- Build CI/CD pipelines and ensure application observability through logging, metrics and monitoring.
- Actively contribute to iterative sprint cycles by participating in peer code reviews, engaging with users, and proactively resolving issues.
- Contribute to the technical community by sharing best practices, publishing internal tech blogs and leading knowledge-sharing sessions
Requirements (Minimum Qualifications)
- Background in Computer Science, Software Engineering, Information Systems, or a related field.
- Good understanding of software engineering fundamentals, including data structures, software design principles, and basic database concepts.
- Familiarity with modern web application development using technologies such as Spring Boot, React, Python.
- Familiarity with relational databases (e.g. MSSQL), and NoSQL databases (e.g. MongoDB).
- Familiarity with Search Engine (e.g. Elasticsearch).
- Familiarity with Observability tooling and frameworks (e.g. OpenTelemetry).
- Experience in integrating LLM and Agentic AI capabilities is a plus.
- Knowledge of SAP or similar enterprise systems of record is an added advantage, particularly in building integrations with bespoke or custom applications.


