JOB DESCRIPTION

DSO National Laboratories (DSO) is Singapore’s largest defence research and development (R&D) organisation, with the critical mission to develop technological solutions to sharpen the cutting edge of Singapore’s national security. At DSO, you will develop more than just a career. This is where you will make a real impact and shape the future of defence across the spectrum of air, land, sea, space and cyberspace.
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.

JOB REQUIREMENTS

• 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.

EXPERIENCE:

0 ~ 3 years

• 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