Professional Officer (All Levels) in Software Engineering

The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum.

Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry.

In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT.

Job Responsibilities

• Design and teach labs & practice modules.
• Mentor students in Capstone Projects and the Integrated Work Study Programme (IWSP).
• Lead or co-lead innovation projects with industry.
• Manage labs and equipment to support academic programmes and applied research.
• Ensure safety in labs

Job Requirements

• Bachelor’s or Master’s degree in Computing, Software Engineering, Data Science, or a related field from a recognized university.
• 10+ years of industry experience in software development lifecycles, with strong technical expertise and hands-on development experience.
• Programming Languages: C#, C/C++, Python, Java.
• Software Engineering Principles: Expertise in Object-Oriented Design, Microservices, API Development, Software Development Lifecycles, Development Environment/IDE, and Project Collaboration.
• Virtualization Technologies: Understand overall concept of computer resource virtualization such as CPU, Memory, Disk, and different type of Hypervisor such as KVM, Hyper-V, VMWare ESXi, VirtualBox or Proxmox.
• Cloud & DevOps Technologies: Experience with Docker, Kubernetes, CI/CD Pipelines, and public cloud platforms such as AWS, Azure, and GCP, or private/on-premises cloud platforms such as OpenStack, VMWare vSphere.
• Big Data & AI: Familiarity with Machine Learning, Data Engineering, and technologies such as TensorFlow, PyTorch, Apache Hadoop, and Spark.
• Software Repository: Knowing how to manage and store software source code or image in local or public repository such as GitHub, GitLab or DockerHub.
• Passion for supporting research and academic projects, with a track record of developing software solutions to address technical challenges through collaboration.
• Extensive industry experience and knowledge to provide valuable industry perspectives in an academic setting.
• Professional or Industry certifications from AWS Cloud, GCP Cloud, Cloud Native Foundation and relevant areas will be an added advantage.
• Actively joined or contributed to any commercial or open-source software project development will be advantageous.