{"id":2435715,"url":"https://alion.io/job/nvidia-senior-cloud-infrastructure-and-reliability-solutions-architect","title":"Senior Cloud Infrastructure and Reliability Solutions Architect","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":434,"ghost_share":0.014,"stale_share":0.493,"repost_share":0.032,"time_to_fill_p50_days":28,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Courbevoie, France","United Kingdom","Spain","Germany"],"countries":["FR","GB","ES","DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":80000,"max_usd":164000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"Bash","optional":false},{"name":"Configuration Management","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Error Budget","optional":false},{"name":"GitOps","optional":false},{"name":"Grafana","optional":false},{"name":"HPC","optional":false},{"name":"InfiniBand","optional":false},{"name":"Kubernetes","optional":false},{"name":"KubeVirt","optional":false},{"name":"Linux","optional":false},{"name":"Loki","optional":false},{"name":"NVLink","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Red Hat","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SLURM","optional":false},{"name":"Terraform","optional":false},{"name":"Ubuntu","optional":false}],"status":"live","first_seen_at":"2026-10-13T10:37:20Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T20:10:26Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"NVIDIA is looking for a Day 2 Site Reliability Engineer to join the EMEA NVIDIA Cloud Partner (NCP) Day 1 / Day 2 Operations team. EMEA NCP fleets are scaling towards a million deployed GPUs, and this role exists to keep those fleets running at maximum goodput once they are in production - owning fault detection and remediation, preventive maintenance, and proactive firmware and field-notice rollout across partner estates.\nWe are looking for a hands-on reliability engineer who thinks in SLOs, error budgets and blast radius rather than tickets. You will measure and drive MTBI and job goodput on multi-thousand-GPU clusters, automate the detection-to-remediation loop, and work directly with NCP operations teams, NVEX and TAMs to review incidents and escalations and turn each one into a permanent fix.\nNCP estates are open-source-first, home-grown and heterogeneous - upstream Kubernetes, KubeVirt, Slurm, Prometheus/Grafana, Cumulus/SONiC and a long tail of ISV and in-house tooling - so this role is deliberately tool-agnostic: you will meet each partner on the stack they actually run rather than on a single proprietary product, and you will keep GPU capacity generating revenue instead of burning cost in reactive support.\nWhat You’ll Be Doing:\nOwn Day 2 production stability and reliability at fleet scale across EMEA NCP partners: define, measure and improve MTBI and job goodput on multi-thousand-GPU clusters, and hold the error budget for the platforms you support.\n\nBuild and operate the fault detection to remediation loop-GPU, node, fabric and storage fault signatures, automated triage, node drain, cordon, reset and return-to-service workflows-so failures are caught and cleared before they cost training jobs.\n\nRun preventive maintenance and proactive firmware and field-notice rollout campaigns across partner fleets (e.g. CPLD and switch firmware levels), including risk assessment, staged rollout, maintenance-window planning and verification at scale.\n\nOwn observability and reliability tooling for GPU fleets: Prometheus/Grafana/Loki, DCGM and XID diagnostics, node-level health agents such as GPUd and NVSentinel, and fleet-wide reliability intelligence-extending or integrating them into the partner’s own home-grown stack.\n\nLead incident response and post-incident review in collaboration with NVEX, TAM and partner operations teams: drive root-cause analysis on escalations, track corrective actions to closure, and convert every recurring incident into automation, a health check or a runbook.\n\nOwn Kubernetes node lifecycle and reliability engineering on heterogeneous open stacks-upstream Kubernetes, KubeVirt, Slurm and GPU-aware schedulers-covering node health policy, upgrade and reboot orchestration, and safe workload draining on GPU-accelerated nodes.\n\nWhat We Need to See:\nBS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields, or equivalent experience.\n\n8+ years in SRE, production engineering or large-scale infrastructure operations roles.\n\nReliability Engineering Practice: Demonstrated ownership of production reliability at scale-SLO and error-budget definition, on-call and incident command, blameless post-incident review, and measurable improvement of availability or mean time between interruptions.\n\nGPU & HPC Fleet Operations: Hands-on experience operating HPC/AI clusters and NVIDIA GPU-accelerated infrastructure-driver and CUDA toolkit lifecycle, firmware management, workload profiling, and troubleshooting across CPUs, GPUs and high-speed interconnects.\n\nKubernetes at Scale: Extensive expertise in running Kubernetes in GPU-accelerated and HPC environments-node lifecycle, upgrades and draining, scheduler behaviour, batch schedulers such as Slurm, and mixed bare-metal/virtualised (e.g. KubeVirt) multi-tenant estates.\n\nObservability & Automation: Proficiency in Python and Bash, Infrastructure-as-Code and configuration management (e.g. Ansible, Terraform), GitOps-based fleet lifecycle and upgrade management, and observability stacks (Prometheus, Grafana, Loki) for monitoring, alerting and building fault-tolerant systems.\n\nLinux, Storage & Networking Fundamentals: Deep knowledge of Linux (RedHat, Ubuntu), OS-level tuning and security, data centre networking fundamentals, and parallel/enterprise storage (Lustre, GPFS, ZFS, XFS) as they affect cluster stability.\n\nWays to Stand Out from the Crowd:\nExperience defining and running proactive firmware, microcode or field-notice rollout campaigns across a large production fleet.\n\nFamiliarity with GPU health and fleet telemetry tooling-DCGM and XID diagnostics, GPUd, NVSentinel, node-level health agents and fleet-wide reliability intelligence.\n\nExperience with the NVIDIA GPU and Network Operators for automated GPU and network resource lifecycle management in Kubernetes, and with NVIDIA Base Command Manager (BCM) for provisioning and monitoring GPU clusters at scale.\n\nPractical background in AI-native scheduling and inference frameworks on Kubernetes (e.g. KAI, Grove, Dynamo, NVIDIA Cloud Functions) and their failure modes under load.\n\nExpertise in RDMA-based fabrics (InfiniBand or RoCE) in HPC or AI environments. Exposure to Cumulus Linux, SONiC or Spectrum-X fabrics, DPU/DOCA infrastructure services, and NVLink/NVSwitch partition operations (NMX-C / NMX-M) on NVL72-class systems is a strong plus.","description_format":"text","description_chars":5378,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-13T10:37:20Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":28,"reasons":["conf:2","win:early","comp:brand"],"computed_at":"2026-10-13T22:22:28Z"},"pay":null,"html_url":"https://alion.io/job/nvidia-senior-cloud-infrastructure-and-reliability-solutions-architect","json_url":"https://alion.io/job/nvidia-senior-cloud-infrastructure-and-reliability-solutions-architect.json","meta":{"generated_at":"2026-10-13T22:22:28Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":34154,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6},"rest":"https://alion.io/mcp/rest/get_company?id=6"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnvidia-senior-cloud-infrastructure-and-reliability-solutions-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnvidia-senior-cloud-infrastructure-and-reliability-solutions-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnvidia-senior-cloud-infrastructure-and-reliability-solutions-architect"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nvidia-senior-cloud-infrastructure-and-reliability-solutions-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-senior-cloud-infrastructure-and-reliability-solutions-architect"}]}