AI Infrastructure Engineer
Job in
Soweto, 1803, South Africa
Listed on 2026-09-12
Listing for:
Placements24
Full Time
position Listed on 2026-09-12
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Systems Engineer, SRE/Site Reliability
Job Description & How to Apply Below
About the Role
Our client is seeking a proactive AI Infrastructure Engineer to enhance their advanced technology capabilities in Soweto . This role is vital for building and maintaining the robust infrastructure required to support large-scale AI and machine learning operations. You will work on optimizing computing resources, managing data storage solutions, and ensuring the smooth operation of AI development and deployment pipelines. This position offers a fantastic opportunity to work with cutting-edge technology and contribute to critical AI initiatives within the Gauteng region, within a hybrid work model that fosters both collaboration and individual productivity.
Key Responsibilities- Design, build, and maintain scalable and reliable infrastructure for AI/ML workloads.
- Optimize hardware and software configurations for performance and efficiency in AI training and inference.
- Manage and automate deployment, monitoring, and maintenance of AI development environments.
- Implement and manage data storage solutions and data pipelines supporting AI projects.
- Collaborate with AI researchers and engineers to understand their infrastructure needs.
- Ensure the security and compliance of AI infrastructure.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience in infrastructure engineering, Dev Ops, or Site Reliability Engineering.
- Experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code tools (e.g., Terraform, Ansible).
- Familiarity with containerization technologies (Docker, Kubernetes) and orchestration.
- Understanding of AI/ML concepts and the infrastructure they require.
- Strong scripting skills (e.g., Python, Bash).
- Competitive salary and performance-based incentives.
- Comprehensive medical and retirement benefits.
- Opportunities for continuous learning and professional certifications.
- A hybrid work model offering flexibility and work-life balance.
- Engaging work with advanced AI technologies in Soweto .
- A collaborative and innovative team environment.
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