AI Platform Engineer (Cloud) - Sandton Gauteng

Absa Group Limited (Absa) is actively recruiting for a AI Platform Engineer (Cloud) - Sandton position in Gauteng. This is an excellent opportunity for professionals in the Data / Business / Analysis / Ai sector looking to advance their careers.

• Experience Level: 1 - 3 years • Educational Background: Bachelor or equivalent • Industry Focus: Data / Business / Analysis / Ai • Location Preference: in Gauteng

The AI Platform Engineer (Cloud) - Sandton position is an important role within the Data / Business / Analysis / Ai sector, offering meaningful career development and professional growth opportunities.

This role in Data / Business / Analysis / Ai offers valuable career progression opportunities aligned with your experience level and professional aspirations.

When applying for this AI Platform Engineer (Cloud) - Sandton position, ensure your CV highlights: • Relevant experience matching the 1 - 3 years requirement • Educational qualifications in line with Bachelor • Specific achievements in the Data / Business / Analysis / Ai field • Any certifications or specialized training

The Data / Business / Analysis / Ai sector in South Africa continues to show strong demand for skilled professionals. This position represents a valuable opportunity in the current job market.

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Absa Group's Chief Data Analytics and Applied AI Office (CDAIO) is seeking a motivated and technically capable Junior AI Platform Engineer (Cloud) to support the development, deployment, and operation of the cloud infrastructure underpinning the bank's enterprise AI capability. This role is ideal for an engineer with foundational experience in cloud engineering, DevOps, platform engineering, or infrastructure engineering who is looking to build expertise in AI platforms, cloud-native technologies, and enterprise-scale AI infrastructure. The successful candidate will work alongside senior platform engineers, architects, security specialists, and AI engineers to support AI platform services across AWS, Azure, Databricks, Kubernetes, and emerging AI technologies. The role provides exposure to Generative AI, Agentic AI, MLOps, AI security, cloud cost management, and AI platform operations within a highly regulated banking environment.

Key Focus Areas

AI Platform Operations - Support the deployment, configuration, monitoring, and maintenance of AI platform infrastructure and services. Cloud Engineering - Assist with managing cloud environments across AWS and Microsoft Azure using Infrastructure-as-Code and automation tools. Platform Reliability & Monitoring - Support monitoring, alerting, troubleshooting, and operational support for production AI services. Security & Governance - Implement and maintain cloud security controls, identity management, secrets management, and compliance requirements. DevOps & Automation - Contribute to CI/CD pipelines, infrastructure automation, and reusable deployment templates. Continuous Learning - Develop expertise in AI platform technologies including AWS Bedrock, Databricks, Azure AI Foundry, Kubernetes, and Agentic AI frameworks.

Core Responsibilities

Platform Engineering

Assist in deploying and supporting AI platform components across AWS and Azure. Support Kubernetes-based workloads and containerized services. Develop and maintain Infrastructure-as-Code using Terraform and cloud-native tooling. Assist with AI model serving environments, APIs, vector databases, and data services. Participate in platform upgrades, maintenance activities, and operational support. Create and maintain technical documentation and operational procedures.

DevOps & Automation

Support CI/CD pipelines using GitHub Actions, Azure DevOps, Jenkins, or similar tools. Automate infrastructure provisioning and deployment activities. Assist with configuration management and deployment standardization. Contribute to reusable infrastructure modules and templates.

Monitoring & Operational Support

Monitor platform health using Grafana, Prometheus, CloudWatch, Azure Monitor, or similar tools. Respond to incidents and assist with troubleshooting activities. Support root-cause analysis and remediation activities. Assist with maintaining operational runbooks and support procedures.

Cloud Security

Support implementation of IAM, RBAC, secrets management, and access controls. Assist in maintaining platform security configurations. Support vulnerability remediation and compliance activities. Follow enterprise security and governance standards.

AI Platform Support

Gain exposure to AWS Bedrock, Azure AI Foundry, Databricks, Hugging Face, and MLOps tooling. Support deployment and operation of AI and Generative AI workloads. Assist with agentic AI environments and AI workflow automation. Work with senior engineers to support AI platform enhancements.

Minimum Qualifications

Bachelor's Degree in:

Computer Science Information Technology Software Engineering Data Science Engineering Mathematics Related technical discipline

OR

Diploma with relevant cloud and platform engineering experience.

Experience Required

1 to 3 years experience in:

Cloud Engineering DevOps Engineering Platform Engineering Infrastructure Engineering Systems Administration Site Reliability Engineering

AWS or Azure Terraform or Infrastructure-as-Code Docker and Kubernetes Linux Administration CI/CD Pipelines Cloud Monitoring Scripting (Python, Bash, PowerShell)

Cloud Platforms

AWS Microsoft Azure

Infrastructure as Code

Terraform ARM Templates AWS CDK (advantageous)

Containers & Orchestration

Docker Kubernetes Helm

Monitoring

Grafana Prometheus CloudWatch Azure Monitor

DevOps

GitHub Actions Azure DevOps Jenkins Git

Programming & Scripting

Python Bash PowerShell

Security Fundamentals

IAM RBAC Secrets Management API Security OAuth 2.0 (advantageous)

Advantageous Exposure

AWS Bedrock Azure AI Foundry Azure Machine Learning Databricks Hugging Face Generative AI MLOps AI Agents LangGraph AutoGen Vector Databases FinOps OpenTelemetry Machine Learning Platforms

National Certificate: Information Technology

End Date: August 27, 2026