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Senior DevOps Support Engineer (Johannesburg or Cape Town)

Summary

Senior DevOps engineer supporting cloud-native AI apps on AWS/Azure, troubleshooting Kubernetes/Docker, and improving CI/CD pipelines for enterprise clients.

Role:
  • Supporting cloud-native AI applications deployed across AWS and Azure environments as well as some on-prem.
  • Troubleshooting Docker containers and Kubernetes workloads.
  • Working alongside engineering teams on new projects, deployments, roll-outs, production support and platform improvements
  • Investigating production issues using logs, metrics, dashboards and monitoring tools.
  • Working closely with engineering teams during client implementations, platform deployments and solution roll-outs.
  • Supporting CI/CD pipelines, release activities and deployment automation.
  • Monitoring platform performance, reliability and availability.
  • Assisting with incident response, root cause analysis and continuous improvement initiatives.
  • Building strong technical relationships with customers and becoming a trusted technical advisor.
  • Contributing to documentation, operational runbooks and support best practices.

Technical environment:
  • AWS and Azure, Docker, Kubernetes (EKS and/or AKS), Terraform, Ansible, GitHub CI, Jenkins, Helm, ArgoCD
  • Prometheus, Grafana, Elasticsearch / Kibana, OpenTelemetry, Kafka & PostgreSQL

Requirements:
  • 58 years experience in DevOps, Cloud Engineering, or Platform Support
  • Strong hands-on experience supporting production cloud environments (AWS and/or Azure)
  • Proven experience working with Kubernetes (EKS and/or AKS) and Docker
  • Experience supporting CI/CD pipelines and automated deployment processes
  • Strong Linux and networking fundamentals
  • Experience working in environments involving incident response, root cause analysis, and production troubleshooting
  • Exposure to enterprise-scale tooling such as Terraform, Ansible, ArgoCD, Helm, or similar
  • Experience interacting with technical stakeholders or customers in a support or delivery capacity
  • Python experience a plus
  • Willing to do standby

Why consider this opportunity?
  • Work with cutting-edge AI technologies and cloud-native platforms.
  • Be involved in exciting customer implementations, projects and platform roll-outsnot just production support.
  • Join a highly skilled engineering team where you'll continue to learn and develop.
  • Exposure to modern DevOps tooling and enterprise-scale cloud infrastructure.
  • Hybrid working environment with the opportunity to make a real impact on innovative AI solutions used by enterprise clients.

See also

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