Senior AI Infrastructure Engineer — Hybrid & Cloud

Placements24; Vereeniging; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Medical, dental, and retirement plans

Generous paid time off

Professional development & training

Attendance at industry conferences

Performance bonuses

Hybrid work arrangement

Job summary

WhatJobs Direct seeks a Senior Software Engineer to focus on AI Infrastructure in a hybrid role based in Vereeniging, Gauteng, ZA. You will design, build, and maintain scalable AI infrastructure powering ML initiatives.

Responsibilities include cloud-based AI infra, data pipelines, CI/CD for ML, and collaboration with data scientists. Strong Python/Go, cloud, Docker/Kubernetes, and MLOps expertise required.

Qualifications

• Bachelor’s or Master’s degree in CS, SE, or related field.
• 5+ years of software engineering experience with a focus on infrastructure/back-end systems.
• Proven experience building and managing AI/ML infrastructure.
• Strong Python or Go programming proficiency.
• Expertise in AWS, Azure, or GCP cloud services.
• Experience with Docker and Kubernetes.
• Knowledge of MLOps tools like MLflow or Kubeflow.
• Experience with distributed data processing frameworks such as Spark.
• Familiarity with IaC tools like Terraform or Ansible.
• Excellent problem-solving and debugging skills.

Responsibilities

• Design, build, and maintain scalable AI infrastructure on cloud platforms.
• Develop data pipelines for large ML datasets.
• Implement tools for distributed training and hyperparameter tuning.
• Create CI/CD pipelines for ML models and infrastructure.
• Ensure security, reliability, and performance of AI infra.
• Collaborate with data scientists and ML engineers on infrastructure needs.
• Automate provisioning, configuration, and management tasks.
• Monitor health, performance, and resource usage.
• Troubleshoot complex infra issues.
• Evaluate and adopt new infrastructure technologies.

Skills

Python

Go

Cloud platforms (AWS/Azure/GCP)

Docker

Kubernetes

MLOps

Distributed systems

Spark

Terraform

Ansible

Education

Bachelor's/Master's in CS/SE or related field

Tools

MLflow

Kubeflow

Job description

WhatJobs Direct seeks a Senior Software Engineer to focus on AI Infrastructure in a hybrid role based in Vereeniging, Gauteng, ZA. You will design, build, and maintain scalable AI infrastructure powering ML initiatives.

Responsibilities include cloud-based AI infra, data pipelines, CI/CD for ML, and collaboration with data scientists. Strong Python/Go, cloud, Docker/Kubernetes, and MLOps expertise required.