Senior Technical Operations & Deployment Engineer (GPU Cloud Infrastructure)

Support installation and validation of the platform stack across regional and core deployments.

Install and validate host operating systems, kernel versions, NVIDIA drivers, Mellanox/NVIDIA OFED or inbox drivers, CUDA compatibility, Docker/containerd, KVM/QEMU, and platform agents.

Support CloudStack-based deployments and Kubernetes/KubeVirt-based deployments.

Validate GPU passthrough, SR-IOV, BlueField NIC/DPU behavior, VM networking, and container networking.

Support Kubernetes node registration, GPU Operator validation, CSI validation, CNI validation, and node lifecycle workflows.

Support storage integration with StorPool, Weka, local NVMe, or other supported storage platforms.

Execute acceptance tests and produce deployment readiness reports.

Perform controlled maintenance activities such as firmware upgrades, switch upgrades, host OS updates, GPU driver updates, BIOS changes, and hardware replacements.

Support incident response for infrastructure issues affecting GPU nodes, hosts, networking, storage, or platform components.

Perform root-cause analysis for deployment and operational failures.

Maintain runbooks for installation, validation, upgrade, rollback, troubleshooting, and handover.

Work with engineering to turn repeated operational issues into automation, better validation, or platform improvements.

Participate in on-call or escalation rotations for regional and core environments where appropriate.

Ensure telemetry is correctly configured for hosts, GPUs, DPUs, switches, storage, OOB devices, and platform components.

Validate Zabbix, Prometheus, Grafana, Loki, DCGM/NVML, NVIDIA NetQ or equivalent telemetry sources.

Confirm that deployment health checks, hardware alerts, performance dashboards, and operational alarms work before production handover.

Support performance baseline testing for GPU, network, storage, and host layers.

Assist with NCP-related validation and benchmarking.

Work closely with the Senior Director of Infrastructure Operations.

Work closely with Staff Network, Staff Storage, Sr Hardware/Infrastructure, Sr Platform, Sr Fleet Automation, Observability, Product Engineering, Sales Engineering, and Service Delivery roles.

Provide field feedback into reference architectures, BOMs, rack layouts, cabling standards, deployment playbooks, and validation procedures.

Coordinate with external vendors including datacenter providers, systems integrators, server vendors, storage vendors, NVIDIA, and networking vendors.

Act as the practical field escalation point when architecture, BOM, datacenter conditions, and platform implementation do not align.

GPU servers: L40S, RTX 6000 Pro, H200, B200/B300-class systems, HGX systems, and future NVL72-style rack-scale systems.

CPU/platform servers.

Storage nodes and JBODs.

PDUs, BMCs, serial/OOB, firewalls, routers, switches.

Rack layouts, power feeds, airflow, cold/hot aisle containment, cabling, optics.

DTC/DLC cooling.

Ubuntu Linux.

Linux networking.

BIOS/BMC/firmware lifecycle.

Redfish, IPMI.

NVIDIA drivers, CUDA, DCGM/NVML.

Mellanox/NVIDIA NICs, BlueField DPUs.

KVM/QEMU, VFIO, PCI passthrough.

Docker/containerd.

NVIDIA Spectrum/Cumulus.

VyOS.

OVS/OVN.

BGP, ECMP, VLAN, VRF, EVPN/VXLAN.

RoCE/RDMA.

SR-IOV.

Citrix NetScaler / WAF.

OOB and break-glass access.

CloudStack.

Kubernetes.

KubeVirt.

NVIDIA GPU Operator.

CSI/CNI integrations.

StorPool, Weka, local NVMe.

Terraform, Ansible, Bash, Python.

Zabbix.

Prometheus.

Grafana.

Loki.

DCGM Exporter.

NVIDIA NetQ or equivalent.

Logs, metrics, hardware health, and deployment validation dashboards.

What you'll need

Strong hands-on experience deploying and maintaining datacenter infrastructure.

Experience with GPU, HPC, AI cloud, private cloud, or high-density compute environments, including both air-cooled and liquid-cooled (nice to have) deployments.

Familiarity with NVL72-style rack-scale architecture, NVLink/NVSwitch domains, in-rack networking, high-density power delivery, and OEM/NVIDIA validation requirements.

Comfortable working across physical infrastructure, Linux hosts, networking, storage, and platform software.

Experience bringing up servers from bare metal through production readiness.

Experience with rack layouts, cabling, optics, transceivers, power, OOB management, and datacenter handover.

Strong Linux troubleshooting skills.

Practical networking knowledge across VLANs, VRFs, BGP, ECMP, OVS/OVN, and routing.

Experience with GPU servers, NVIDIA drivers, firmware, PCIe topology, and hardware validation. .

Strong documentation discipline and ability to produce accurate as-built records and runbooks.

Ability to validate practical datacenter readiness for current and next-generation AI infrastructure, including power density, cooling model, rack depth/width, floor loading, containment, serviceability, and maintenance access.

Personal qualities:

Very hands-on and practical.

Comfortable working in datacenters and remotely with smart-hands teams.

Strong troubleshooting mindset across hardware, network, host, and platform layers.

High attention to detail around cabling, labeling, asset records, and validation.

Calm under pressure during deployment windows and customer-impacting incidents.

Able to distinguish between a temporary field workaround and a permanent engineering fix.

Good communicator who can explain field issues clearly to engineering and leadership.

What we offer • Attractive compensation package reflecting your expertise and experience. • A great work environment characterised by friendliness, international diversity, flexibility, and a hybrid-friendly approach. • You'll be part of a fast-growing scale-up with a mission to make a positive impact, offering an exciting career evolution.

Our job titles may span more than one job level. The actual base pay is dependent on a number of factors, such as transferable skills, work experience, business needs and market demands.

Our inclusive responsibility Radian Arc is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under applicable law.