AI Infrastructure Engineer - Scalability

Placements24; Upington; On-site; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Medical aid

Retirement fund

Professional development

Job summary

Placements24 is seeking an AI Infrastructure Engineer to join our client in Upington, Northern Cape. You will design, deploy, and optimize scalable AI/ML infrastructure on cloud platforms (AWS/Azure/GCP) and build robust CI/CD pipelines for model deployment.

You'll ensure monitoring, security, cost efficiency, and reliability while collaborating with data scientists and ML engineers to enable cutting-edge AI development in a fast-growing environment.

Qualifications

• 3+ years of experience in infrastructure engineering, DevOps, or SRE focusing on AI/ML workloads.
• Hands-on with cloud platforms AWS, Azure, or GCP and services.
• Proficient in Python and Bash scripting.
• Experience with Docker and Kubernetes.
• Knowledge of networking, storage, and compute tech.
• Familiar with MLOps concepts is a plus.
• Strong problem-solving and communication skills.

Responsibilities

• Design, deploy, and manage scalable and resilient AI/ML infrastructure on cloud platforms.
• Develop and maintain CI/CD pipelines for infrastructure automation and AI model deployment.
• Implement monitoring, logging, and alerting systems to ensure health and performance.
• Optimize infrastructure for cost, performance, and scalability for large workloads.
• Collaborate with data scientists and ML engineers to understand infrastructure needs.
• Implement and manage Docker and Kubernetes for AI applications.
• Troubleshoot and resolve complex infrastructure issues in production environments.
• Ensure security and compliance of the AI infrastructure.
• Contribute to capacity planning and disaster recovery strategies.

Skills

Infra engineering

DevOps / SRE

Cloud platforms

Python / Bash

Docker & Kubernetes

Networking & storage

MLOps awareness

Analytical skills

Education

Bachelor's degree in Computer Science or Engineering

Tools

Docker

Kubernetes

CI/CD tooling

Job description

About the Role

Our client is looking for a talented AI Infrastructure Engineer with a focus on scalability to join their growing team in Upington, Northern Cape. This role is critical for building and maintaining the robust, high-performance infrastructure that powers our advanced AI and machine learning initiatives. You will be responsible for designing, implementing, and optimizing scalable systems, ensuring reliability, efficiency, and cost-effectiveness. This is an excellent opportunity to work on challenging infrastructure problems in the AI domain and contribute to the success of innovative projects within Upington, Northern Cape. The ideal candidate has a strong background in systems engineering, cloud computing, and a passion for enabling cutting-edge AI development.

Key Responsibilities

• Design, deploy, and manage scalable and resilient AI/ML infrastructure on cloud platforms (AWS, Azure, GCP).
• Develop and maintain CI/CD pipelines for infrastructure automation and AI model deployment.
• Implement monitoring, logging, and alerting systems to ensure the health and performance of AI infrastructure.
• Optimize infrastructure for cost, performance, and scalability to support large-scale AI workloads.
• Collaborate with data scientists and ML engineers to understand their infrastructure needs and provide robust solutions.
• Implement and manage containerization technologies (Docker, Kubernetes) for AI applications.
• Troubleshoot and resolve complex infrastructure issues in production environments.
• Ensure the security and compliance of the AI infrastructure.
• Contribute to capacity planning and disaster recovery strategies.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in infrastructure engineering, DevOps, or Site Reliability Engineering (SRE), with a focus on AI/ML workloads.
• Hands-on experience with cloud computing platforms (AWS, Azure, or GCP) and their services.
• Proficiency in scripting languages such as Python, Bash.
• Experience with containerization and orchestration tools like Docker and Kubernetes.
• Understanding of networking, storage, and compute technologies.
• Familiarity with MLOps principles and tools is a plus.
• Strong problem-solving, analytical, and communication skills.

Benefits

• Our client offers a competitive salary package, comprehensive medical aid, and retirement fund benefits.
• This role provides ample opportunities for professional development, including training in the latest cloud and AI technologies, and the chance to work on impactful projects.
• You will be part of a dynamic team environment in our Upington, Northern Cape offices, fostering collaboration and innovation.
• We are committed to employee well-being and support a healthy work-life balance.

Join us to build the infrastructure that powers the future of AI.