Platform Engineering Lead

Vodafone Group Plc; Johannesburg; On-site; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Professional development

Cutting-edge AI infrastructure

Collaborative, fast-paced environment

Job summary

Vodafone Group Plc in Randburg, Johannesburg, is seeking an AI Platform Engineer to design, scale, and maintain AI infrastructure powering ML workflows.

You will build cloud-ready platforms on AWS/Azure/GCP, implement CI/CD, containerization, and data pipelines, while monitoring reliability and collaborating with data scientists and ML engineers to meet infrastructure needs.

Qualifications

• 4+ years of experience in software engineering or DevOps, focusing on cloud infrastructure.
• Experience with cloud platforms (AWS, Azure, or GCP) and infrastructure as code (Terraform, Ansible).
• Strong understanding of containerization technologies (Docker, Kubernetes).
• Familiarity with MLOps principles and tools for model deployment and management.

Responsibilities

• Design, implement, and manage scalable AI infrastructure on cloud platforms (AWS, Azure, GCP).
• Develop and maintain CI/CD pipelines for machine learning models and applications.
• Implement and manage containerization technologies (Docker, Kubernetes) for AI workloads.
• Build and optimize data pipelines for ML data ingestion and processing.
• Monitor system performance, troubleshoot issues, and ensure reliability of AI platforms.
• Collaborate with data scientists and ML engineers to understand infrastructure needs.

Skills

4+ years experience

Cloud infrastructure

MLOps familiarity

Education

Bachelor's degree in CS/Engineering

Tools

Terraform

Ansible

Docker

Kubernetes

Python

Bash

Job description

AI Platform Engineer

Our client is seeking a skilled AI Platform Engineer to join their innovative infrastructure team in Randburg. You will be responsible for building, scaling, and maintaining the underlying platforms and tools that power our client's artificial intelligence initiatives. This role requires a strong understanding of cloud computing, distributed systems, and MLOps principles, combined with experience in supporting data science and machine learning workflows. The ideal candidate is passionate about enabling AI development through robust and efficient infrastructure, ensuring seamless deployment and operation of AI models. You will work closely with AI researchers and engineers to provide the tools and environments they need to succeed.

Key Responsibilities

• Design, implement, and manage scalable AI infrastructure on cloud platforms (AWS, Azure, GCP).
• Develop and maintain CI/CD pipelines for machine learning models and applications.
• Implement and manage containerization technologies (Docker, Kubernetes) for AI workloads.
• Build and optimize data pipelines for machine learning data ingestion and processing.
• Monitor system performance, troubleshoot issues, and ensure reliability of AI platforms.
• Collaborate with data scientists and ML engineers to understand infrastructure needs.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in software engineering or DevOps, focusing on cloud infrastructure.
• Proven experience with cloud platforms (AWS, Azure, or GCP) and infrastructure as code (Terraform, Ansible).
• Strong understanding of containerization technologies (Docker, Kubernetes).
• Familiarity with MLOps principles and tools for model deployment and management.
• Experience scripting with Python, Bash, or similar.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunity to work with cutting‑edge AI infrastructure in Randburg.
• Professional development and training opportunities.
• A collaborative and fast‑paced work environment.
• Contribute to the core infrastructure enabling AI innovation.