Senior DevOps Support Engineer (Johannesburg or Cape Town)
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Summary
Supports cloud-native AI applications running on AWS and Azure (plus some on-prem): troubleshooting Docker and Kubernetes workloads, maintaining CI/CD pipelines and deployments, monitoring platform reliability, and driving incident response and root cause analysis alongside engineering teams and enterprise customers.
Role:
Technical environment:
Requirements:
Why consider this opportunity?
- Supporting cloud-native AI applications deployed across AWS and Azure environments as well as some on-prem.Â
- 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:
- 5â8 yearsâ 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-outsânot 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.