# Senior Cloud Infrastructure and DevOps Solutions Architect

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/France-Courbevoie/Senior-Cloud-Infrastructure-and-DevOps-Solutions-Architect_JR2025837?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7ab7a34a-0c9

## Description

NVIDIA is seeking a Senior Cloud Infrastructure and DevOps Solutions Architect to join its Infrastructure Specialist Team. The successful candidate will work on building and advising on large-scale AI and HPC systems, engaging with customers, partners, and cross-functional teams to assess, architect, and guide the implementation of infrastructure projects.

The role involves:

- Owning full-solution validation on partner software stacks, including cluster-wide stability testing and real training-workload acceptance

- Minimizing the time from cluster handover to first production workload

- Ensuring Day 2 production stability at fleet scale, including monitoring, logging, and workload orchestration

- Assessing customer environments and operating heterogeneous open platforms

- Providing consultative guidance and hands-on troubleshooting across the full stack

- Acting as a technical leader for assigned accounts

The ideal candidate will have:

- A BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields

- 8+ years of experience in managing scalable cloud environments and automation engineering roles

- Expertise in cloud, HPC, and GPU technologies, including Kubernetes, AI/ML workloads, Linux, storage systems, automation, and observability

- Strong consultative and communication skills

Nice-to-have skills include:

- Knowledge of CI/CD pipelines and container-based microservices architectures

- Experience with NVIDIA GPU and Network Operators, NVIDIA Base Command Manager, and GPU health and fleet telemetry tooling

- Familiarity with AI-native scheduling and inference frameworks on Kubernetes

- Background with RDMA-based fabrics and DPU/DOCA infrastructure services

## Skills

### Required
- Cloud infrastructure
- DevOps
- Kubernetes
- HPC
- GPU acceleration
- Automation
- Observability
- Linux
- Storage systems
- Python
- Bash scripting

### Nice to have
- CI/CD pipelines
- Container-based microservices architectures
- NVIDIA GPU and Network Operators
- NVIDIA Base Command Manager
- GPU health and fleet telemetry tooling
- AI-native scheduling and inference frameworks on Kubernetes
- RDMA-based fabrics
- DPU/DOCA infrastructure services

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/France-Courbevoie/Senior-Cloud-Infrastructure-and-DevOps-Solutions-Architect_JR2025837?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)