Hybrid Senior DevOps & Cloud Platform Engineer (AI)

Elite Search; Johannesburg; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid working environment

Exposure to cloud-native AI tech

Job summary

Elite Search is seeking an experienced DevOps/Cloud Engineer to support cloud-native AI apps across AWS and Azure with on-prem as needed. You will troubleshoot Docker/Kubernetes workloads, investigate production issues, and collaborate on client deployments and CI/CD activities.

Ideal candidates have 5–8 years in DevOps or platform support, strong Linux fundamentals, and exposure to Terraform, Ansible, ArgoCD, Helm, and monitoring stacks. Standby readiness is a plus.

Qualifications

• 5-8 years' experience in DevOps, Cloud Engineering or Platform Support.
• Hands-on production cloud environments (AWS and/or Azure) experience.
• Kubernetes (EKS/AKS) and Docker proficiency.
• Experience with CI/CD pipelines and automated deployments.
• Strong Linux and networking fundamentals.
• Exposure to enterprise tooling like Terraform, Ansible, ArgoCD, Helm.

Responsibilities

• Support cloud-native AI applications across AWS, Azure, and on-prem.
• Troubleshoot Docker containers and Kubernetes workloads.
• Investigate production issues using logs, metrics, dashboards and monitoring tools.
• Collaborate with engineering teams during client implementations and deployments.
• Support CI/CD pipelines, release activities, and deployment automation.
• Monitor platform performance, reliability and availability.
• Assist with incident response, root cause analysis and continuous improvement.

Skills

DevOps experience

Cloud engineering

Platform support

Incident response

Production troubleshooting

Python experience

Standby readiness

Tools

Docker

Kubernetes

Terraform

Ansible

ArgoCD

Helm

Prometheus

Grafana

Elasticsearch

Kibana

OpenTelemetry

Kafka

PostgreSQL

AWS

Azure

Job description

Elite Search is seeking an experienced DevOps/Cloud Engineer to support cloud-native AI apps across AWS and Azure with on-prem as needed. You will troubleshoot Docker/Kubernetes workloads, investigate production issues, and collaborate on client deployments and CI/CD activities.

Ideal candidates have 5–8 years in DevOps or platform support, strong Linux fundamentals, and exposure to Terraform, Ansible, ArgoCD, Helm, and monitoring stacks. Standby readiness is a plus.