AI Cloud Engineer

Placements24; Upington; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Remote or hybrid work flexibility

Competitive salary and benefits

Job summary

Placements24 is seeking an AI Cloud Engineer in Upington to design, deploy, and manage scalable cloud infrastructure for AI/ML workloads. You will implement CI/CD pipelines, optimize resources for performance and cost, and ensure robust security across the cloud environment.

Collaboration with AI researchers will shape infrastructure decisions. The ideal candidate has 3+ years in cloud engineering, hands-on experience with AWS/Azure/GCP, Docker/Kubernetes, and IaC tools like Terraform or

Qualifications

• Bachelor's degree in Computer Science, Engineering or a related field.
• 3+ years of experience in cloud engineering.
• Proficiency with major cloud platforms (AWS, Azure, or GCP).
• Experience with Docker and Kubernetes; IaC tools like Terraform or CloudFormation.

Responsibilities

• Design and manage scalable cloud infrastructure for AI/ML applications.
• Implement and maintain CI/CD pipelines for AI/ML deployment.
• Optimize cloud resources for performance, cost, and reliability.
• Enforce security best practices in cloud environments and AI systems.
• Collaborate with AI researchers to understand infrastructure requirements.

Skills

Cloud engineering

CI/CD

Security best practices

Collaboration with AI researchers

Education

Bachelor's degree in CS/Engineering

Tools

AWS

Azure

GCP

Docker

Kubernetes

Terraform

CloudFormation

Job description

About the Role

Our client is seeking a skilled AI Cloud Engineer to join their innovative technology team in Upington . This role focuses on designing, building, and managing the cloud infrastructure necessary to support our advanced AI and machine learning initiatives. You will work with leading cloud platforms to deploy, scale, and optimize AI workloads, ensuring robust performance, security, and cost-efficiency. The ideal candidate possesses strong cloud engineering expertise, a solid understanding of AI/ML concepts, and a passion for enabling cutting‑edge artificial intelligence solutions, working within a collaborative environment that fosters continuous learning and technological advancement.

Key Responsibilities

• Design, deploy, and manage scalable cloud infrastructure for AI/ML applications (e.g., on AWS, Azure, GCP).
• Implement and maintain CI/CD pipelines for AI/ML model deployment and management.
• Optimize cloud resources for performance, cost, and reliability of AI workloads.
• Ensure security best practices are applied to the cloud environment and AI systems.
• Collaborate with AI researchers and engineers to understand infrastructure needs and provide solutions.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in cloud engineering, with specific experience supporting AI/ML projects .
• Proficiency with major cloud platforms (AWS, Azure, or GCP) and their services.
• Experience with containerization technologies (Docker, Kubernetes).
• Understanding of infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation).

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunity to work on advanced AI cloud infrastructure .
• Continuous learning and professional development support.
• Collaborative team environment focused on innovation.
• Potential for remote or hybrid work flexibility.