Senior DevOps Support Engineer (Johannesburg or Cape Town)
Elite Search · Johannesburg, Gauteng
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Start free — we apply for you →What you'll be doing
- Supporting cloud-native AI applications deployed across AWS and Azure environments as well as some on-prem.
- Troubleshooting Docker containers and Kubernetes workloads.
- 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 You will be working on technologies including:
- AWS and Azure
- Docker
- Kubernetes (EKS and/or AKS)
- Terraform
- Ansible
- GitHub CI / Jenkins
- Helm
- ArgoCD
- Prometheus
- Grafana
- Elasticsearch / Kibana
- OpenTelemetry
- Kafka
- PostgreSQL
We're looking for someone who has
- 5–8 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-outs—not 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.