Platform Support Engineer; Remote-Malaysia)

About Radian Arc. Radian Arc provides an infrastructure-as-a-service (IaaS) platform for running cloud gaming, artificial intelligence and machine learning applications inside telecommunication carrier networks. Our teams across the USA, Australia, Central Europe, Malaysia, Singapore and Japan offer telecom operators a GPU-based edge computing platform without the need for capital expenditure, facilitating low latency and improved economics for value-added services and the monetization of 5G investments.

As a Platform Support Engineer, you’ll support Radian Arc’s production AI and GPU infrastructure across Linux, Kubernetes, GPU compute, networking and storage. This is a hands-on technical role. You’ll investigate alerts and incidents, work out what is actually failing, resolve issues where you can, and escalate when deeper engineering or physical intervention is needed.

We are not looking for someone whose main experience is monitoring queues and passing tickets on. You should be comfortable getting onto systems, looking at logs and metrics, running diagnostics and troubleshooting problems yourself.

You’ll work closely with the Senior Platform Support Engineers, Engineering, Data Center Operations and Service Delivery teams.

• Support production GPU infrastructure and platform services.
• Troubleshoot Linux systems, Kubernetes, GPU nodes, networking and storage.
• Investigate Kubernetes node, pod, service and cluster issues using logs, metrics and standard tooling.
• Check GPU health, driver state, device visibility, utilization and hardware status using NVIDIA and platform tools.
• Troubleshoot common network issues including DNS, routing, VLANs and connectivity.
• Investigate common storage, file system and mount issues.
• Respond to alerts and support incidents and assess the likely customer and SLA impact.
• Take recovery or remediation actions where the issue is within your scope.
• Verify that services are healthy again after an incident or maintenance activity.
• Provide the SDM with clear technical status and recovery updates during customer-impacting incidents.
• Escalate complex issues with useful diagnostics, logs and a clear summary of what has already been checked.
• Escalate suspected platform defects or systemic issues to Engineering with the appropriate diagnostics and technical evidence.
• Work with Data Center Operations when physical hardware intervention is needed.
• Keep technical records and handovers clear and up-to-date.
• Improve runbooks and troubleshooting guides based on what you see in production.
• Help identify recurring incidents, monitoring gaps and noisy alerts.
• Write or adapt simple Bash or Python scripts where this makes support easier or more repeatable.

• 3+ years of hands-on experience in infrastructure support, systems administration, cloud/platform operations or production support.
• Strong Linux troubleshooting skills.
• Hands-on Kubernetes experience, including troubleshooting nodes, pods, services and common cluster issues.
• Experience supporting GPU infrastructure or GPU-enabled environments, including basic NVIDIA GPU and driver diagnostics.
• Good networking fundamentals, including TCP/IP, DNS, VLANs, routing and connectivity troubleshooting.
• Working knowledge of storage and file system concepts.
• Experience with monitoring and observability tools such as Prometheus, Grafana, Zabbix or similar.
• Ability to work with logs, metrics and system telemetry and use them to narrow down a problem.
• Basic Bash and/or Python scripting skills.
• Experience working in a structured production support environment.
• Good judgement on when to keep troubleshooting and when to elevate.
• Clear written and spoken English.

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