Senior DevOps Support Engineer

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

• 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.