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  • Posted: Apr 8, 2026
    Deadline: Apr 27, 2026
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  • UCT is one of the leading higher education institutions on the African continent and has a tradition of academic excellence that is respected worldwide. Situated on spectacular Devil’s Peak, it is Africa’s oldest and foremost university. Three worldwide rankings have placed UCT among the world’s top 200 institutions, the only African university to have...
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    Data & AI Platform Engineer

    Role Overview

    • The Data & AI Platform Engineer will be responsible for building, maintaining, and optimising the organisation’s data and
    • AI infrastructure. In addition to contributing to digital transformation initiatives, the successful candidate will assist in developing reliable platforms that support data processing, analytics, and machine learning operations.
    • The role sits at the intersection of data engineering, cloud infrastructure, DevOps, and machine learning operations
    • (MLOPS), ensuring that systems are scalable, automated, and production-ready for real-world use.

    The successful candidate will work closely with software developers and Knowledge Translation teams to:

    • Build and maintain data platforms (warehouses, pipelines)
    • Develop and optimise large-scale data processing systems
    • Build and support AI/ML platforms for model training and deployment
    • Implement CI/CD pipelines for data and AI workflows
    • Automate infrastructure using Infrastructure as Code (IaC)
    • Monitor, troubleshoot, and optimise system performance
    • Ensure reliability, scalability, and security of platforms
    • The position provides hands-on technical implementation and operational support for data and AI systems across the organisation.

    Qualifications:

    • Bachelor’s degree in Computer Science, Information Systems, or a related field

    Required Skills:

    • Proficiency in Python and SQL
    • Strong command of data engineering concepts, including ETL/ELT pipelines
    • Hands-on experience with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud
    • Practical experience working with big data technologies
    • Proficiency in Linux environments and scripting
    • Strong understanding of DevOps principles and automation practices
    • Proven problem-solving capability with a systems-thinking approach to designing scalable and efficient solutions
    • Exceptional attention to detail with a strong, reliability-focused mindset

    Closing Date:15 April 2026

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to University of Cape Town on uct.ac.za to apply

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