Centre for Strategic Infocomm Technologies
Software Engineer (Corporate Data Tech)
Be an Early Applicant
Design and build full-stack, cloud-native enterprise applications that manage corporate data from ingestion through serving. Develop APIs, integrations, data pipelines, CI/CD pipelines, observability, and secure data synchronization across networks. Participate in agile sprints, code reviews, documentation, issue resolution, and technical knowledge sharing. The role may also involve integrating LLM and agentic AI capabilities.
We are looking for talented Software Engineers to join a product team dedicated to building digital products that enhance organizational effectiveness and drive workforce productivity. In this role, you will design and deliver robust, scalable enterprise applications that manage corporate data end-to-end from ingestion through to serving that data to internal business consumers and applications. This role also includes the opportunity to deliver enterprise applications that leverage AI to harness corporate data, unlocking insights, new efficiencies and boosting productivity across the organization.
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 throughout the SDLC and hands-on development.
- Build reliable APIs and integrations that connect digital products to enterprise systems.
- Deliver high-quality, and maintainable code.
- Write 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.
- Design, build, and maintain robust pipelines to securely and efficiently move, transform, and sync data across disparate networks.
Requirements (Minimum Qualifications)
- A degree or professional qualification in Computer Science, Software Engineering, Information Systems, or a related field.
- 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.
- Technical expertise in the following areas is a plus: microservices, event-driven architecture, API design, data pipelines, ETL processes, and data synchronization mechanisms across networks.
- Comfortable working in a small, fast-moving teams.
Candidates with at least three years of experience in software engineering may be considered for senior positions.
As CSIT is an agency under the Ministry of Defence (Singapore), only Singapore Citizens will be considered.
Centre for Strategic Infocomm Technologies Singapore, Singapore, SGP Office
Singapore, Singapore
Similar Jobs
.jpeg)
Yesterday
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The role involves product development and validation for HBM products, optimizing test coverage, improving yields, supporting new designs, and collaborating with cross-functional teams.
Top Skills:
Circuit DesignCmos TechnologyDram ArchitectureElectrical And Electronics EngineeringJmpProduct ValidationPythonSemiconductor Devices
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead water and waste construction engineering across full project lifecycle for semiconductor fabs. Review designs, resolve construction issues, manage cost/schedule/risk, coordinate contractors/consultants, support commissioning, sustainability, and standardization of best practices while using AI-assisted tools to optimize performance.
Top Skills:
Ai-Assisted ToolsEpcmWater And Wastewater Systems Engineering
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Analyze semiconductor manufacturing data to identify yield detractors, optimize processes, and reduce defects. Build data pipelines from SQL databases, sensor networks, and fabrication logs; apply statistical modeling, machine learning, SPC, DOE, and related analytics. Create automated dashboards and reports using Dash, Plotly, or Angular, and collaborate with manufacturing, equipment, process, and integration engineers to resolve production issues and drive continuous improvement.
Top Skills:
AngularDashDoeFdc/EdaMachine LearningPlotlyPythonSpcSQL
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
