Senior Solutions Architect, DevOps

NVIDIA; Warszawa; On-site; PLN 221,000 - 507,000; Full time

Job summary

NVIDIA is seeking a Senior Cloud Infrastructure and DevOps Solutions Architect to join the NVIDIA Infrastructure Specialist Team. You will lead large-scale AI/HPC deployments, advise customers, and architect platforms spanning Kubernetes, Linux, storage, and networking.

You will also author runbooks and guide modernization efforts for enterprise environments. The role combines hands‑on implementation with strategic guidance, requiring deep technical expertise and strong communication to

Qualifications

• Education in CS or related field with 5+ years in scalable cloud environments.
• Proven HPC/AI cluster deployment, optimization, and troubleshooting experience.
• Hands-on NVIDIA GPU infrastructure work including driver and CUDA toolkit integration.
• Strong consultation and customer engagement skills with architectural reviews.

Responsibilities

• Advise on and maintain large-scale computational and AI infrastructure including Kubernetes and Linux job schedulers.
• Troubleshoot across full stack from bare metal to container platform, networking, and storage.
• Assess environments and propose production‑ready Kubernetes‑based platforms with enterprise networking and storage.
• Develop and document standard methodologies and runbooks for internal teams and customers.
• Support POCs/POVs to validate new features, architectures, and upgrade approaches.
• Create high‑quality documentation and onboarding materials for customers and teams.
• Lead architectural reviews and guide long‑term infrastructure decisions for customer accounts.

Skills

Kubernetes

Linux

Python

Bash scripting

Networking

HPC concepts

GPU workload profiling

Education

BS/MS/PhD in Computer Science or related field

5+ years in scalable cloud environments

Tools

Terraform

Ansible

Grafana

Prometheus

Loki

CUDA toolkit

GPU drivers

Job description

NVIDIA is looking for a Senior Cloud Infrastructure and DevOps Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial organizations around the world are using NVIDIA products to redefine deep learning and data analytics, and to power next-generation data centers. Join the team building and advising on many of the largest and fastest AI/HPC systems in the world! We are looking for someone who combines deep technical expertise with strong consulting and communication skills. This role will engage directly with customers, partners, and cross-functional teams to assess, architect, and guide the implementation of large-scale infrastructure projects. The scope spans system architecture, Kubernetes-based platforms, and automation—serving as both a trusted advisor and a hands‑on technical leader.

What You’ll Be Doing

• Advise on and help maintain large-scale computational and AI infrastructure, including monitoring, logging, and workload orchestration (Kubernetes and Linux job schedulers).
• Provide consultative guidance and perform hands‑on troubleshooting across the full stack—from bare metal and operating system, through the software stack, container platform, networking, and storage.
• Assess customer environments and recommend optimized, production‑ready Kubernetes‑based container platforms integrated with enterprise‑grade networking and storage solutions.
• Serve as a key technical resource: develop, refine, and document standard methodologies and operational guidelines to be shared with internal teams and customer stakeholders.
• Support Development activities and engage in POCs/POVs to validate new features, architectures, and upgrade approaches.
• Create and deliver high‑quality documentation, including runbooks, onboarding materials, and best‑practice guides for customers and internal teams.
• Act as the technical leader for assigned customer accounts, providing strategic guidance on DevOps and platform architecture and influencing long‑term infrastructure and operations decisions.

What We Need To See

• Education & Experience: BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields, with 5+ years of professional experience in managing scalable cloud environments and automation engineering roles.
• Cloud & HPC Expertise: Proven understanding of networking fundamentals, data center architectures, and hands‑on experience managing HPC/AI clusters, including deployment, optimization and troubleshooting.
• NVIDIA GPU Expertise: Demonstrated hands‑on experience deploying, configuring, and optimizing NVIDIA GPU‑accelerated infrastructure, including driver management, CUDA toolkit integration, and GPU workload profiling.
• Kubernetes & AI/ML Workloads: Extensive experience with Kubernetes for container orchestration, resource scheduling, scaling, and integration with GPU‑accelerated and HPC environments.
• Hardware & Software Knowledge: Strong familiarity with HPC and AI technologies (CPUs, GPUs, high‑speed interconnects) and supporting software stacks.
• Linux & Storage Systems: Deep knowledge of Linux (RedHat, Ubuntu), OS‑level security, and protocols.
• Automation & Observability: Proficiency in Python and Bash scripting, configuration management, and Infrastructure‑as‑Code tools (e.g., Ansible, Terraform). Experience with observability stacks (Grafana, Loki, Prometheus) for monitoring, logging, and building fault‑tolerant systems.
• Solution Architecture & Customer Engagement: Strong background in crafting scalable solutions and providing consultative support to customers, including leading architectural reviews and presenting to executive stakeholders.

Ways To Stand Out From The Crowd

• Knowledge of CI/CD pipelines for software deployment and automation.
• Solid hands‑on knowledge of Kubernetes and its operators for GPU and Network management.
• Practical experience with SLURM, MPI, enroot and job provisioning.
• Experience with SW change management of clusters across compute, network and storage.
• Experience with NVIDIA Base Command Manager (BCM) for provisioning, managing, and monitoring GPU clusters at scale as well as background with RDMA‑based fabrics (InfiniBand or RoCE) in HPC or AI environments.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 221,250 PLN - 383,500 PLN for Level 3, and 292,500 PLN - 507,000 PLN for Level 4., , JR2018680