Software Engineer (Information)

DSO National Laboratories; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

DSO National Laboratories in Singapore seeks a Software Engineer (Information) to architect and optimise computing clusters, develop full-stack software with a research-focused team, and deploy secure, scalable solutions for mission objectives.

You will build and productionise cutting-edge algorithms, collaborate with data engineers, and drive end-to-end development from requirements to deployment and validation.

Qualifications

• Masters or Bachelor’s in CS/CE/IT or related field.
• 3+ years architecting and managing large-scale computing clusters.
• Proficiency with Kubernetes or OpenShift and distributed systems.
• Experience with Hadoop or Spark and ETL pipelines.
• Strong software engineering fundamentals and OO design.
• Willingness to work across teams and research projects.

Responsibilities

• Architect, optimise, deploy, and maintain computing clusters for high performance.
• Develop full-stack software with research scientists and data engineers.
• Design secure, scalable software architectures and production pipelines.
• Implement DevOps/DevSecOps pipelines and testing environments.
• Collaborate across programmes and organisations for integration tests.

Skills

Collaboration

End-to-end delivery

DevOps practices

Security-focused mindset

Open to interdisciplinary work

Education

Bachelor's degree in CS/CE/IT

Master's degree in CS/CE/IT

Tools

Kubernetes

OpenShift

Apache Hadoop

Apache Spark

CI/CD pipelines

Job description

The Information Division focuses on capabilities and technologies that enable the MINDEF/SAF to harness and exploit information in the physical battlefield and cyberspace. Capability areas include cybersecurity, cryptography, data analytics and fusion, artificial intelligence, vulnerabilities assessments and operations analysis. Our highly skilled Software Engineers architect advanced computing clusters, contributing to enhanced computational efficiency and performance. They work alongside a multidisciplinary team of research scientists to develop full-stack software solutions with novel capabilities in the digital and physical realms. Beyond software development, they also provide expertise in software engineering processes, software methodologies and tools.

People are DSO's greatest asset. You will get to realise your career aspirations and develop your own niche either as a deep technical expert or a leader in the team. With frequent career dialogues and a robust training and development framework, we will provide you with the necessary development tools for you to reach your potential. You will also be recognised and rewarded through competitive remuneration packages and scholarship opportunities.

Software Engineer (Information)

In this role, you will:

• Work collaboratively with a dynamic team to architect, optimise, deploy, and maintain computing clusters, ensuring high performance and efficiency. Collaborate with data engineers to develop effective ETL pipelines for seamless data integration and processing.
• Engage in the end-to-end development lifecycle of full-stack software solutions, from eliciting requirements to developing, testing, deploying and iteratively improving systems to meet user needs and mission objectives.
• Design and build modern software architectures that are scalable, resilient, safe, and secure, while providing expertise in software design and programming to research projects. Work closely with research scientists to implement and refine the latest algorithmic ideas.
• Put cutting-edge technologies, algorithms, and models into production by designing and implementing DevOps/DevSecOps pipelines, test environments, and simulators for software verification and validation.
• Collaborate with research scientists and users across programmes, divisions, and organisations to conduct integration tests in the laboratory and potentially in the field.

• Masters / Bachelor's Degree in Computer Science, Computer Engineering, Information Technology or related field.
• 3+ years' experience in architecting and managing large-scale computing clusters.
• Proficiency in cluster management tools and platforms, such as Kubernetes or OpenShift.
• Strong understanding of distributed computing concepts and technologies such as Apache Hadoop or Apache Spark.
• Knowledge of networking, storage solutions and server infrastructure.
• Experience in C / C++ / C# / Java / JavaScript / Python / Bash / Powershell.
• Well-versed in Object-Oriented Analysis and Design.
• Passion to build secure server-client systems.
• Experience in software testing and DevOps/DevSecOps will be an advantage.
• Open-minded and comfortable interacting with engineers from other disciplines.
• Interest in any of the following areas: Artificial Intelligence and Machine Learning, Data Analytics or Full-Stack Development.