Senior Infrastructure Support Engineer

About the role

Nscale is the vertically integrated AI cloud engineered for AI. We own and operate the full stack — energy, data centres, GPU superclusters, orchestration, and AI services — delivering high-performance infrastructure to AI-native companies, enterprises, and governments across Europe and the US. We are deploying GPU capacity at hyperscale, operating some of the densest, most advanced AI infrastructure in the world.

What You’ll be Doing (Responsibilities)

• Join the Support duty rotation as a senior escalation point, collaborating with Infrastructure Engineering, CNPRE, Network Operations, and Product Engineering on incidents, investigations, and changes.
• Diagnose and remediate GPU node faults across the full stack — driver, firmware, and hardware layers — from nvidia-smi/DCGM and XID/RAS analysis through BMC/Redfish and out-of-band management to physical fault isolation and vendor RMA.
• Own east-west fabric health: run link-level diagnostics (mlxlink, ibdiagnet, or equivalent), isolate transceiver, optics, cabling, and switch-port faults, and validate topology across InfiniBand and RoCE/high-speed Ethernet fabrics.
• Investigate data-path issues on high-performance storage platforms (e.g. VAST), including storage–network interactions across clients, mounts, VIPs, and routing.
• Run structured, hypothesis-driven investigations; conduct root cause analysis for major incidents and drive long-term fixes to completion.
• Author and execute changes in live customer environments with proper risk assessment, peer review, and backout plans.
• Proactively improve dashboards, alerts, and runbooks to prevent repeat incidents; identify recurring patterns and convert them into problem records and automation.
• Accurately record, update, and resolve tickets, keeping internal and external parties informed with clear customer-impact statements and evidence-rich notes that enable clean handover.
• Design and implement automation scripts and small tools to reduce toil and human intervention.
• Act as a key escalation point for the Support Organisation, taking ownership of strategic decisions where results matter.
• Mentor and upskill mid-level engineers; contribute to knowledge sharing across Operations and Engineering, including training content, workshops, and PR reviews.
• Lead by earning trust and speaking candidly. Disagree when appropriate and challenge the status quo; commit wholly to decisions once in motion.
• Respond to critical incidents out of business hours and participate in on-call as required. Travel to Nscale or customer sites to provide onsite technical expertise.

About You (Skills / Qualifications Experience)

• Experience. 6+ years in infrastructure, operations, or support engineering in production environments; 2–3+ years hands-on with GPU, HPC, or large-scale data centre estates, ideally in a customer-facing or escalation-driven capacity.
• Communication. Able to explain complex technical detail clearly, specifically, and concisely — in tickets, in incident updates, and face to face with customers and stakeholders at all levels. Strong written discipline: your notes let the next engineer pick up where you left off without starting from scratch.
• GPU platforms (NVIDIA; AMD Instinct beneficial). Practical, current experience with GPU drivers, firmware, and runtime stacks on AI training and inference clusters. Confident with nvidia-smi, DCGM, and XID/error interpretation; able to isolate faults across GPU, baseboard, NIC, and PCIe layers and drive them through diagnosis to RMA.
• High-performance east-west fabrics. Hands-on experience with RDMA fabrics — InfiniBand and/or RoCE — including link-layer diagnostics (mlxlink, ibdiagnet, or equivalent), transceiver and cabling fault isolation, and understanding of rail-optimised topologies, NVLink/NVSwitch, and NCCL-based performance troubleshooting on multi-node clusters.
• HPC scheduling. Slurm operations for large multi-GPU jobs — containers via Pyxis/Enroot, MPI, and diagnosing queue, topology, and job failures.
• Linux systems engineering at scale. Strong command of modern Linux distributions, kernel modules, systemd, networking stack, and filesystem tooling. Proven troubleshooting across compute, storage, and network layers in production.
• Server hardware and control planes. Comfortable with BMC/Redfish, firmware management, and bare-metal provisioning workflows (MAAS or similar) across large node fleets.
• Networking fundamentals. Solid grasp of L2/L3, routing, BGP, VLANs, VXLAN, firewalls, and load balancing, with a clear understanding of how east-west cluster traffic differs from north-south.
• Observability and incident response. Build and use alerting stacks and dashboards (Prometheus/Grafana or similar), interpret metrics and alerts, drive runbooks to resolution, and contribute to SLOs and post-incident reviews.
• Change and risk judgment. Experience authoring and executing changes in business-critical environments, including risk assessments, customer-impact analysis, and backout plans.
• SRE-style operations. Write and maintain runbooks, automate diagnostics, and reduce human intervention through scripts and small tools.
• Automation and Git. Scripting skills in Bash, Python, or equivalent for operational tooling and integrations; experience with infrastructure automation tools (Ansible, Terraform or similar).
• Data centre fundamentals. Understanding of how data centres operate — servers, networks, storage, power, and cooling — ideally gained through an operational support background.
• Leadership. Disciplined, organised, and self-motivated, with the ability to mentor and motivate other engineers, take decisive action, and drive the team and wider organisation to improve.
• Adaptability. Able to adapt to customer-driven demands, including specialist support outside core hours and travel for onsite work.