Senior Technical Operations & Deployment Engineer (GPU Cloud Infrastructure)

Jobgether; España; Presencial; EUR 90.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-friendly Europe-based remote

GPU cloud exposure

NVIDIA GPUs

Descripción de la vacante

Jobgether, partnering with a leading AI infra provider in Spain, seeks a Senior Technical Operations & Deployment Engineer (GPU Cloud Infrastructure). You will deploy and operate GPU-rich cloud environments, oversee datacenter readiness, and drive incidents to resolution across Linux, storage, networking, and virtualization.

The role combines hands-on engineering with cross-functional collaboration, requiring deep Linux, Kubernetes, and NCC/NVMe know-how, plus strong operational discipline in a

Formación

• Datacenter infrastructure deployment experience.
• Experience with GPU/AI infrastructure environments is a plus.
• Strong Linux troubleshooting and system administration skills.
• Networking knowledge including VLANs, BGP, and DC connectivity.
• Automation and scripting (Terraform/Ansible/Python).
• Observability and incident response experience.

Responsabilidades

• Coordinate datacenter deployments with providers, integrators, and vendors.
• Support rack-and-stack activities for GPU/CPU servers and networking gear.
• Validate cabling, power, cooling, and physical readiness.
• Commission GPU servers, storage nodes, and platform infra.
• Perform burn-in, stress, and acceptance testing before production handover.
• Validate RoCE/RDMA fabrics for AI workloads and troubleshoot issues.
• Install and validate Ubuntu/Linux, NVIDIA drivers, CUDA, and container runtimes.
• Support CloudStack, Kubernetes, KubeVirt, and CSI/CNI integrations.

Conocimientos

Datacenter infra

Linux troubleshooting

Networking

Kubernetes

Automation

Python

Observability

Communication

Herramientas

Terraform

Ansible

KVM/QEMU

Docker

Grafana

Prometheus

Descripción del empleo

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Technical Operations & Deployment Engineer (GPU Cloud Infrastructure) based in Spain.

This is ahighly hands-oninfrastructure role focusedon deploying, commissioning, and operating GPUcloud environments acrossregional and coredatacenters.

You will turnvalidated architecturesand bills ofmaterials into production-ready infrastructure spanninghardware, networking, storage, Linux, andplatform software.

The role sitsat the intersectionof datacenter operations, GPU infrastructure, networkengineering, and cloudplatform operations.

You will workwith high-densityNVIDIA GPU systems, advanced networking,storage platforms, Kubernetes, virtualization, and observabilitytooling.

As a practicaltechnical escalation point, you will troubleshootcomplex issues acrossphysical and softwarelayers and driveincidents through resolution.

You willalso help establishdeployment standards, validationprocedures, documentation, and operational practicesfor a rapidlyevolving AI infrastructureenvironment.

The role offersbroad technical ownershipinan international, fast-moving setting wherehands-on executionand operational excellenceare essential.

Accountabilities

• Datacenter deployment:Coordinate deployments with datacenter providers, integrators, logistics teams, vendors, and internal engineering; validate rack layouts, power, cooling, airflow, cabling, labeling, and physical readiness.
• Rack and infrastructure commissioning:Support rack-and-stack activities for GPU and CPU servers, storage, switches, routers, firewalls, PDUs, serial/OOB systems, and supporting infrastructure.
• Cabling and connectivity:Validate fiber and copper cabling, optics, transceivers, breakout cables, port mappings, link speeds, redundancy, and management, storage, north-south, and east-west connectivity.
• Hardware bring-up:Commission GPU servers, storage nodes, and platform infrastructure while validating BIOS, BMC, firmware, NICs, DPUs, GPUs, NVMe, RAID/HBA, PCIe topology, NUMA, thermals, power, and hardware health.
• Hardware validation:Execute burn-in, stress, network, storage, and acceptance testing before production handover; troubleshoot issues involving GPUs, DPUs, NICs, optics, memory, disks, firmware, and BIOS.
• Network deployment support:Work with network engineering to validate switch configurations, routing, VLAN/VRF segmentation, BGP, ECMP, EVPN/VXLAN, OVS/OVN, VyOS, firewalls, WAF infrastructure, and customer connectivity.
• AI networking:Support validation of RoCE/RDMA fabrics for distributed AI workloads and troubleshoot issues such as link flaps, MTU mismatches, route errors, packet loss, PFC/ECN problems, and congestion.
• Platform installation:Install and validate Ubuntu/Linux environments, NVIDIA drivers, CUDA, OFED or inbox drivers, Docker/containerd, KVM/QEMU, platform agents, and GPU infrastructure components.
• Cloud and Kubernetes environments:Support CloudStack, Kubernetes, KubeVirt, GPU Operator, CSI/CNI integrations, GPU passthrough, SR-IOV, BlueField DPUs, VM networking, and container networking.
• Storage integration:Support integration and validation of StorPool, Weka, local NVMe, and other supported storage platforms.
• Operational readiness:Execute acceptance testing, produce deployment readiness reports, maintain runbooks, and ensure infrastructure is fully operational before customer or production handover.
• Day-2 operations:Perform controlled firmware, OS, driver, BIOS, switch, and hardware maintenance while supporting production incidents and infrastructure escalations.
• Incident management:Investigate operational failures, perform root-cause analysis, distinguish temporary workarounds from permanent fixes, and work with engineering to eliminate recurring issues.
• Observability:Validate telemetry and monitoring across hosts, GPUs, DPUs, switches, storage, and platform components using tools such as Zabbix, Prometheus, Grafana, Loki, DCGM/NVML, and NVIDIA NetQ or equivalents.
• Performance validation:Establish baselines for GPU, network, storage, and host performance and support benchmarking and infrastructure validation.
• Documentation:Maintain accurate as-built records covering rack elevations, cable maps, port mappings, serial numbers, asset records, IP allocations, changes, and operational procedures.
• Cross-functional coordination:Partner with infrastructure, networking, storage, platform, fleet automation, observability, product engineering, sales engineering, and service delivery teams.
• Vendor management:Coordinate with datacenter providers, system integrators, server and storage vendors, NVIDIA, and networking suppliers to resolve deployment and infrastructure issues.
• Continuous improvement:Feed field experience back into reference architectures, BOMs, rack designs, cabling standards, deployment playbooks, validation processes, and automation.

Requirements

• Datacenter infrastructure:Strong hands-on experience deploying and maintaining datacenter infrastructure, ideally within GPU, HPC, AI cloud, private cloud, or high-density compute environments.
• Bare-metal deployment:Proven ability to bring servers from physical installation and bare metal through validation and production readiness.
• GPU infrastructure:Experience with NVIDIA GPU servers, drivers, firmware, PCIe topology, hardware validation, and high-performance compute environments.
• Next-generation AI infrastructure:Familiarity with NVL72-style rack-scale architectures, NVLink/NVSwitch domains, in-rack networking, high-density power delivery, and OEM/NVIDIA validation requirements.
• Datacenter readiness:Ability to assess power density, cooling, rack dimensions, floor loading, containment, serviceability, maintenance access, and other physical requirements for AI infrastructure.
• Linux:Strong Linux troubleshooting capabilities and experience managing operating systems, kernels, drivers, and hardware interfaces.
• Networking:Practical knowledge of VLANs, VRFs, BGP, ECMP, OVS/OVN, routing, OOB management, and high-speed datacenter connectivity.
• GPU networking:Familiarity with NVIDIA/Mellanox networking, RoCE/RDMA, SR-IOV, BlueField DPUs, and high-performance east-west infrastructure.
• Virtualization and containers:Experience with KVM/QEMU, VFIO, PCI passthrough, Docker/containerd, Kubernetes, and/or KubeVirt.
• Storage:Experience integrating or troubleshooting local NVMe, storage nodes, and enterprise or distributed storage platforms.
• Automation:Familiarity with Terraform, Ansible, Bash, and/or Python for deployment, validation, configuration, or operational automation.
• Observability:Experience with infrastructure monitoring, telemetry, logs, metrics, health checks, and performance dashboards.
• Documentation:Strong attention to detail and discipline in producing accurate as-built documentation, runbooks, validation records, and handover materials.
• Troubleshooting:Strong systems-thinking ability across physical infrastructure, hardware, firmware, networking, Linux, storage, and platform layers.
• Operational mindset:Comfortable supporting production environments, deployment windows, operational escalations, and customer-impacting incidents.
• Communication:Able to clearly explain technical issues, risks, workarounds, and permanent solutions to engineering teams, vendors, and leadership.
• Personal qualities:Highly practical, detail-oriented, calm under pressure, autonomous, and comfortable working both inside datacenters and remotely with smart-hands teams.

Benefits

• Attractive compensation package reflecting your expertise, experience, transferable skills, and market conditions.
• Full-time or contract engagement, depending on the agreed arrangement.
• Europe-based remote working environment with flexibility.
• Opportunity to work on cutting-edge GPU cloud and AI infrastructure at significant scale.
• Hands-on exposure to NVIDIA GPU platforms, high-density datacenter environments, RoCE/RDMA networking, Kubernetes, virtualization, storage, and advanced observability.
• Broad cross-functional scope spanning hardware, datacenter operations, networking, storage, Linux, and cloud platforms.
• High-impact role within a fast-growing international scale-up.
• Strong opportunities for technical growth and career development as the infrastructure platform expands.
• Friendly, diverse, flexible, and international working environment.
• Inclusive workplace committed to equal opportunity and respect for all qualified candidates.

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