AI Platform & DevOps Engineer
Johannesburg - South Africa
Job Summary
Role Purpose
Build operate and optimize the cloud DevOps observability security and deployment foundations required for enterprise AI solutions. This role ensures AI applications can move safely from proof of concept to production with reliable environments CI/CD monitoring cost control access management and operational support.
- Establish clear delivery patterns and reusable assets for priority AI use cases.
- Support at least two to four high-priority MVPs/pilots moving from discovery into controlled pilot or production readiness.
- Create documentation reusable code deployment patterns evaluation methods and operational practices that reduce future delivery effort.
- Demonstrate measurable improvements in delivery speed automation user productivity AI quality operational efficiency or cost avoidance.
- Build credibility with business stakeholders by delivering practical secure and usable AI solutions rather than conceptual prototypes.
- Azure platform services Azure AI Foundry Azure OpenAI and cloud application hosting
- CI/CD using GitHub Actions Azure DevOps or equivalent
- Docker containers Kubernetes Azure Container Apps or equivalent
- Infrastructure-as-code using Terraform Bicep or ARM templates
- Monitoring and observability using Azure Monitor Application Insights Log Analytics or equivalent
- Secrets management Key Vault managed identity RBAC and secure networking
- API Management gateways service endpoints and integration infrastructure
- Cost management usage dashboards and cloud optimization practices
- Linux scripting Python Bash and automation tooling
- Operational support incident management and production readiness practices
- 5 years in DevOps cloud engineering platform engineering site reliability engineering or infrastructure engineering.
- 2 years supporting cloud-native applications or enterprise platforms.
- Experience implementing CI/CD pipelines and automated deployments.
- Experience with monitoring logging alerting and operational support.
- Experience securing cloud environments and managing identity secrets and access controls.
- Exposure to AI platforms data platforms APIs or modern application engineering environments.
- Microsoft Azure Administrator Azure DevOps Engineer Expert Azure Solutions Architect or equivalent certifications.
- Experience supporting AI/ML platforms LLM applications model endpoints or data science environments.
- Experience in regulated environments such as fintech banking telecoms or enterprise technology.
- Experience with Kubernetes API gateways vector databases and enterprise search services.
- Experience with cost governance for AI/API usage and cloud services.
Please note only shortlisted candidates will be contacted. If you have not heard from us in 2 weeks please consider your application unsuccessful.
Required Experience:
IC
About Company
With 15 years of experience in the Telecommunications and Financial Services industry in Africa and the Middle East, we are experts at supporting our clients through their digital transformation journeys. We believe in blending traditional methods with cutting-edge strategies to drive ... View more