AI Infrastructure Engineer
Listed on 2026-10-20
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IT/Tech
Cloud Computing: Infrastructure & Operations, Systems Engineer
Our client is looking for an experienced AI Infrastructure Engineer to join their expanding technology team in Centurion, Gauteng, ZA
. This crucial role involves designing, building, and maintaining the robust infrastructure required to support large-scale AI and machine learning workloads. You will work with cutting-edge hardware and software, ensuring optimal performance, scalability, and reliability for our AI development and deployment pipelines. The ideal candidate has a strong background in systems engineering, cloud computing, and a deep understanding of the specific needs of AI infrastructure, including GPU management and distributed computing.
You will play a key part in enabling the company's ambitious AI initiatives. The Centurion, Gauteng, ZA location offers a dynamic tech ecosystem.
- Design, deploy, and manage scalable and reliable infrastructure for AI/ML workloads (e.g., training, inference).
- Manage cloud-based environments (AWS, Azure, GCP) and on-premises infrastructure.
- Optimize infrastructure for performance, cost-efficiency, and security.
- Implement and manage containerization technologies (Docker, Kubernetes).
- Configure and maintain GPU clusters and other specialized hardware for deep learning.
- Develop and automate infrastructure provisioning and management using tools like Terraform and Ansible.
- Monitor system performance, troubleshoot issues, and implement solutions to ensure high availability.
- Collaborate with data scientists and ML engineers to understand their infrastructure requirements.
- Implement and enforce best practices for infrastructure security and compliance.
- Stay current with emerging trends in AI infrastructure, cloud computing, and Dev Ops.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Minimum of 5 years of experience in systems engineering, cloud infrastructure, or Dev Ops, with a focus on AI/ML infrastructure.
- Proven experience managing cloud platforms (AWS, Azure, GCP) and infrastructure-as-code tools (Terraform, Ansible).
- Strong understanding of containerization technologies (Docker, Kubernetes).
- Experience with high-performance computing (HPC) environments and GPU management is highly desirable.
- Proficiency in scripting languages such as Python, Bash.
- Knowledge of networking concepts and security best practices.
- Experience with CI/CD pipelines and tools.
- Excellent problem-solving and troubleshooting skills.
- Strong communication and collaboration abilities.
- Experience working with large-scale data processing frameworks is a plus.
- Competitive salary and comprehensive benefits package.
- Opportunity to work at the forefront of AI infrastructure technology.
- Exposure to diverse and challenging AI projects.
- Hybrid work model providing flexibility.
- Professional development opportunities and support for certifications.
- Dynamic and collaborative work environment in Centurion, Gauteng, ZA
. - Generous paid time off and employee perks.
- Potential for stock options or performance bonuses.
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