Senior GPU Cloud Platform Engineer — Edge & HPC

Radian Arc Limited; United States; Hybrid; USD 96,000 - 152,000; Part time

Benefits offered by this job

Hybrid-friendly approach

Competitive compensation package

Diversity and inclusive environment

Job summary

Radian Arc Limited is seeking a Senior Cloud Support Engineer to provide advanced technical support for customers running workloads on our GPU cloud platform. You will diagnose incidents across compute, networking, storage, and orchestration layers and work with engineering to improve reliability.

The role emphasizes on-call rotations, incident triage, and hands-on troubleshooting of Kubernetes clusters, GPU drivers, and high-performance networking.

Qualifications

• 5+ years of experience in cloud support, infrastructure operations, or systems administration.
• Experience supporting large-scale infrastructure environments or GPU clusters.

Responsibilities

• Provide advanced technical support for customers operating workloads on bare-metal and virtualized GPU infrastructure.
• Diagnose and resolve complex customer issues affecting GPU clusters, compute nodes, networking, and storage.
• Investigate incidents across multiple layers of the stack including firmware, drivers, operating systems, and platform services.
• Perform root cause analysis (RCA) for major incidents and contribute to long-term remediation efforts.
• Serve as a technical escalation point for complex or high-priority support cases.
• Troubleshoot issues affecting GPU compute nodes, Kubernetes clusters, networking, and storage infrastructure.
• Analyze logs, telemetry, and monitoring signals to identify underlying causes of platform instability.
• Investigate issues related to GPU drivers, firmware, networking, and system performance.
• Monitor and investigate security alerts generated by the platform security stack.
• Analyze and triage alerts generated by Wazuh, TheHive, Cortex.
• Validate alerts, determine impact, and escalate potential security incidents to the security engineering team.
• Assist in collecting system telemetry, logs, and forensic data required for incident investigations.
• Improve alert runbooks and operational procedures to reduce false positives and improve response time.
• Provide advanced support for large-scale GPU workloads running distributed training and inference jobs.
• Diagnose failures affecting multi-GPU and multi-node workloads.
• Investigate performance issues impacting distributed workloads, including GPU utilization, communication latency, storage bottlenecks, and networking congestion.
• Support scheduling systems used for GPU workloads, including troubleshooting job queue failures, scheduling constraints, and cluster resource fragmentation.
• Diagnose issues in high-performance networking fabrics and RDMA/NVLink/NCCL environments.
• Coordinate with data center technicians and infrastructure teams for remote diagnostics and hardware interventions.
• Validate hardware health after replacements and ensure service readiness after installations or maintenance.
• Participate in on-call rotations and contribute to improving incident response processes.

Skills

Cloud support

GPU clusters

Linux

Kubernetes

Networking

Incident response

Tools

Grafana

Zabbix

Wazuh

TheHive

Cortex

Jira

Confluence

Zendesk

PagerDuty

Slack

Job description

Radian Arc Limited is seeking a Senior Cloud Support Engineer to provide advanced technical support for customers running workloads on our GPU cloud platform. You will diagnose incidents across compute, networking, storage, and orchestration layers and work with engineering to improve reliability.

The role emphasizes on-call rotations, incident triage, and hands-on troubleshooting of Kubernetes clusters, GPU drivers, and high-performance networking.