Salary
≈ $36k – $73k per year (Estimated)
Location
In office (Singapore)
Seniority
Junior · 1+ year exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 22, 2025. Centre for Strategic Infocomm Technologies scores C on the Alion truth index.
Overview
Company
Impact
Profile match
The Centre for Strategic Infocomm Technologies is a Singapore government agency under the Ministry of Defence and a member of the Defence Technology Community. It builds advanced cybersecurity and secure digital systems that safeguard national security, conducting applied research in cybersecurity and developing artificial intelligence and data exploitation tools inside a self-built secure cloud environment. Its engineering work spans cybersecurity, artificial intelligence, data and software engineering and cloud infrastructure, and it recruits through undergraduate, diploma and computing scholarships as well as a traineeship.
We are seeking a skilled Data Engineer to join our Cybersecurity (Data Systems) product group. As a key member of our team, you'll design, develop, and deploy large-scale data systems that support our cybersecurity products and services. You'll work closely with our team to identify and prioritize project requirements, develop and implement solutions, and ensure our products meet the needs of our operations users and stakeholders.
Key Responsibilities
- Design, build, and optimize large-scale data systems for threat detection, investigation, and analysis
- Scale data systems to stay ahead of emerging threats and growing data volumes
- Develop scalable and high-availability system architecture with CI/CD
- Build high-performance microservices and RESTful APIs
- Enhance dashboards for system health monitoring and telemetry collection
- Stay up-to-date with industry trends and emerging technologies to improve our data systems
Requirements (Minimum Qualifications)
- A degree or professional qualification in Computer/Electrical Engineering, Computer Science, Data Engineering, or equivalent
- 1-3 years of experience in Data Engineering
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Proficiency in programming languages such as C, C++, Java, or Python
Nice to Have
- Advantageous experience/knowledge in:
- SIEM tools (e.g., Splunk, ELK stack)
- Network IDS tools (e.g., Snort, Suricata)
- High-performance, scalable, low-latency networking
- Cloud-native technologies (e.g., Kubernetes, Docker)
- Microservice and RESTful APIs design and development
- DevOps CI/CD tools (e.g., Gitlab CI/CD, Kubernetes, Helm)
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