Lecturer – IT (Dev Ops, Cloud & AI)

Whitecliffe College; Auckland; On-site; NZD 70,000 - 110,000; Full time

Benefits offered by this job

Inclusive recruitment process

Adjustment support during application

Job summary

Whitecliffe College in Auckland is seeking a Lecturer with strong DevOps, cloud and AI expertise to bring real-world engineering into IT classrooms. You will design and assess courses, teach hands-on CI/CD, IaC and containerisation, and mentor students through projects and capstones.

You will collaborate with industry partners to deliver live projects, guest speakers and work-integrated learning, ensuring curricula stay current with cloud and AI trends.

Qualifications

• Postgraduate qualification (Master’s or higher) in Information Technology, Computer Science, Software Engineering or a related discipline.
• Industry experience in a DevOps, site reliability, platform or cloud engineering.
• Hands‑on experience with CI/CD tools, infrastructure as code, containers and orchestration and scripting or programming (e.g. Python)
• Strong technical knowledge of at least one major cloud platform (AWS, Azure or Google Cloud)
• Good understanding of AI and machine learning technologies, including how AI services and models are deployed and operated in the cloud
• Excellent communication and presentation skills

Responsibilities

• Designing, delivering and assessing courses across undergraduate and postgraduate IT programmes, focusing on DevOps, cloud computing and AI
• Teaching practical skills in CI/CD, infrastructure as code, containers and orchestration, cloud platforms and cloud-native app development
• Helping students understand how AI and ML are built, deployed and operated in production environments
• Developing postgraduate and undergraduate curriculum and learning materials to keep pace with industry tools
• Supervising student projects and mentoring them for industry
• Building relationships with industry partners to bring live projects and guest speakers into the programme
• Contributing to programme quality, moderation and continuous improvement, and to research or professional practice

Skills

Master’s degree

DevOps experience

CI/CD pipelines

Cloud platforms

AI/ML knowledge

Communication

Education

Master’s degree in IT/CS/SE

Job description

Preferably Full-time / will consider Part-time (FTE)

Location — Auckland city

Whitecliffe

Whitecliffe is one of the leading art, design, IT and fashion schools in Aotearoa. Since 1984 we’ve focused on one thing: turning creativity into a career. Our values of Integrity, Courage, Creativity, Belonging and Respect are the foundation of how we work together and with our communities.

About Information Technology At Whitecliffe

Whitecliffe’s Information Technology department prepares students for careers in a fast-moving digital industry. Our programmes range from introductory IT certificates through to the Bachelor of Applied Computing Technologies, the Postgraduate Diploma in Information Technology and the Master of Information Technology, delivered across our Auckland, Wellington and Christchurch campuses.

Our teaching is applied and industry-connected. Students build skills in artificial intelligence, data analytics, cloud-native development, cloud security, networking, cyber security and software development, supported by our industry partnerships with organisations such as Microsoft, AWS Academy, Cisco, Red Hat, CompTIA and EC-Council. Our degrees are endorsed by IT Professionals New Zealand.

About The Role

We’re looking for a Lecturer with a strong technical understanding of cloud and AI technologies (preferably from a a DevOps background). You’ll bring real‑world engineering practice into the classroom, helping students understand not just how to build software, but how to deploy, automate, secure and run it at scale.

Key Responsibilities Include

• Designing, delivering and assessing courses across our undergraduate and postgraduate IT programmes, with a focus on DevOps, cloud computing and AI
• Teaching practical skills in areas such as CI/CD pipelines, infrastructure as code, containerisation and orchestration, cloud platforms and cloud-native application development
• Helping students understand how AI and machine learning are built, deployed and operated in production environments
• Developing and refreshing postgraduate and undergraduate curriculum and learning materials so they keep pace with industry tools and practice
• Supervising student PG/UG projects and capstones, and mentoring students as they prepare for industry
• Building relationships with industry partners to bring live projects, guest speakers and work-integrated learning into the programme
• Contributing to PG/UG programme quality, moderation and continuous improvement, and to research or professional practice activity

About You

You’re a practitioner first: someone who has built and run systems in the real world and enjoys sharing that experience. You’re comfortable moving between the command line and the lecture theatre, and you can explain complex technical concepts in a way that makes them click for students from diverse backgrounds.

You keep up with how cloud and AI technologies are changing the industry, and you’re excited about preparing the next generation of technologists to work with them responsibly.

Essential

Skills and Qualifications

• A postgraduate qualification (Master’s or higher) in Information Technology, Computer Science, Software Engineering or a related discipline
• Industry experience in a DevOps, site reliability, platform or cloud engineering.
• Hands‑on experience with CI/CD tools, infrastructure as code, containers and orchestration and scripting or programming (e.g. Python)
• Strong technical knowledge of at least one major cloud platform (AWS, Microsoft Azure or Google Cloud)
• A good understanding of AI and machine learning technologies, including how AI services and models are deployed and operated in the cloud
• Excellent communication and presentation skills

Desirable

• Tertiary teaching or professional training experience
• Relevant industry certifications (e.g. AWS, Azure, Kubernetes or Red Hat)
• Experience with MLOps, AI platforms or generative AI tooling
• Knowledge of cloud security and DevSecOps practices
• Understanding of higher education quality and assessment processes
• Understanding of Te Tiriti o Waitangi and its application in education settings

Personal Attributes

• A passion for teaching and for helping students succeed
• Curious and committed to keeping your technical skills current
• Organised, reliable and able to manage teaching, marking and development work
• Collaborative, approachable and comfortable working with colleagues, students and industry partners
• A problem-solver who brings a practical, hands‑on approach to learning
• Respect for diverse perspectives and a commitment to inclusive teaching

Whitecliffe is committed to an inclusive and accessible recruitment process. If you need any support or adjustments during the application or interview process, please let us know.