Lecturer/Senior Lecturer (Cloud Engineering) – School of Engineering

[What the role is] This is a full-time Lecturer/Senior Lecturer position focused on delivering high-quality education in Cloud Engineering. The role involves teaching and mentoring learners in areas such as cloud engineering, cloud-native application development, DevOps and emerging technologies. The successful candidate will deliver applied and experiential learning, mentor students in developing and deployment of scalable, secure and production-ready cloud solutioning aligned with industry needs. Candidates with experience or interest in Artificial Intelligence (AI), Internet of Things (IoT), cloud-enabled digital transformation initiatives will an added advantage. [What you will be working on] The successful candidate will: • Develop and deliver learning units in the following areas • Cloud Engineering & Cloud Native Development: Design and development of cloud-native applications and services using languages such as Python, JavaScript, APIs, SDKs, microservices and managed cloud services. • DevOps & Platform Engineering & Automation: Implementation of CI/CD pipelines, Infrastructure as Code (IaC), containerisations, monitoring and automated deployment practices. • Emerging Cloud Technologies : Adoption and application of AI, Generative AI, Data Analytics, IoT and other digital technologies within cloud environments. • Develop and deliver industry-relevant curriculum, assessments and experiential learning activities • Supervise student projects and provide guidance aligned with industry practices • Participate in curriculum development, academic quality processes and continuous improvement initiatives • Stay abreast of industry trends by participating or initiating in the development of industry-relevant projects and integrating emerging technologies into teaching and learning [What we are looking for] We are seeking a candidate who possesses: • Relevant academic qualifications in Computer Engineering, Information System, Computer Science, Cloud Computing or a related field. • Practical knowledge and hands-on experience in cloud-native application development, DevOps practices or platform engineering. • Proficiency in programming and scripting languages such as Python and JavaScript, with experience in developing applications and integrating cloud services through APIs and SDKs. • Strong communication skills, with a genuine passion for teaching, mentoring and engaging learners. • Experience or interest in Artificial Intelligence (AI), Internet of Things (IoT), cloud-enabled digital transformation initiatives will be considered a plus. • Relevant cloud certifications (e.g., AWS, Azure, etc) will be an advantage. #LI-Hybrid