Senior AI Platform Engineer: Cloud, LLMs & AI Services

Sabenza IT & Recruitment; Pretoria; On-site; ZAR 600,000 - 800,000; Full time

Job summary

A leading technology recruitment firm is looking for a Senior AI Engineer who is passionate about building smart platforms and managing cloud infrastructure. The ideal candidate will thrive in a dynamic environment where innovation is key, and will work with cloud technologies including Azure and Kubernetes. You will be responsible for designing, building, and testing AI services, and optimizing cloud operations for performance and cost efficiency. This position requires strong programming skills in Python and expertise in various cloud technologies.

Qualifications

• Proficiency with Azure (AZ-104) for cloud management.
• Experience with SQL and PostgreSQL databases.
• Knowledge of container orchestration with Kubernetes (CKAD).
• Expertise in using Terraform/Open Tofu for infrastructure.
• Strong programming skills in Python.
• Familiarity with Helm and Kustomize for templating.
• Advanced Linux operating system knowledge.
• Skilled in using Git and GitHub Enterprise for version control.
• Experience managing CI/CD processes.
• Ability to monitor systems using Grafana, Loki, and Prometheus.

Responsibilities

• Build and optimize cloud configurations for performance and cost.
• Support developers on platform-related topics.
• Design and test AI services using REST and LLMs.
• Manage and optimize deployed LLMs in Kubernetes.

Skills

Cloud: Azure (AZ-104)

Databases: SQL using PostgreSQL

Container Orchestration: Kubernetes (CKAD)

Infrastructure as Code: Terraform/Open Tofu

Programming Languages: Python

Templating Tools: Helm, Kustomize

Operating Systems: Advanced Linux

Version Control: Advanced Git and GitHub Enterprise

CI/CD: Create, Manage and support Shared Workflows

Monitoring: Grafana, Loki, Prometheus

Job description

A leading technology recruitment firm is looking for a Senior AI Engineer who is passionate about building smart platforms and managing cloud infrastructure. The ideal candidate will thrive in a dynamic environment where innovation is key, and will work with cloud technologies including Azure and Kubernetes. You will be responsible for designing, building, and testing AI services, and optimizing cloud operations for performance and cost efficiency. This position requires strong programming skills in Python and expertise in various cloud technologies.