# Senior Cloud Infrastructure Solutions Architect

**Company**: NVIDIA
**Location**: Remote, Australia
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Australia-Remote/Solutions-Architect---NCP-DevOps_JR2027206?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_610ab378-e60

## Description

NVIDIA is looking for a Senior Cloud Infrastructure Solutions Architect to join its ANZ Team, specifically focused on working with Neo Clouds.

As a Senior Cloud Infrastructure Solutions Architect, you will be involved with the crew developing many of the largest and fastest AI/HPC systems in the world. You will work on a dynamic customer-focused team that requires excellent interpersonal skills. Your role will involve interacting with Neo Clouds, customers, partners, and various departments to analyze, define, and implement large-scale AI Operational projects.

**Responsibilities**

- Maintaining large-scale computational and AI infrastructure, focusing on monitoring, logging, workload orchestration (Kubernetes and Linux job schedulers).

- Optimizing scalable, production-ready Kubernetes-based container platforms coordinated with enterprise-grade networking and storage.

- Serving as a key technical resource, developing, refining, and documenting standard methodologies and operational guidelines to be shared with internal teams.

- Leading technical engagements, helping customers troubleshoot, resolve complex issues, and advocate for their technical needs.

- Supporting Enterprise, Research & Development activities and engaging in POCs/POVs to validate new features, architectures, and upgrade approaches.

- Partnering with APAC Regional and HQ Engineering, Product, and Sales teams to develop, plan best suitable solutions for Partners.

- Developing tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources.

- Creating and delivering high-quality documentation, including runbooks, onboarding materials, and best-practice guides for customers and internal teams.

- Becoming the technical leader for assigned customer accounts, providing strategic guidance on DevOps and platform architecture and influencing long-term infrastructure and operations decisions.

**Requirements**

- 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.

- Proven Hardware & Software knowledge and experience at scale: Familiarity with HPC and AI technologies (CPUs, GPUs, high-speed interconnects) and supporting software stacks.

- Cloud & HPC Expertise: Proven understanding of networking fundamentals (TCP/IP stack), data center architectures (from storage to Network, GPU accelerated compute and of course DevOps software stacks, as well as hands-on experience managing HPC/AI clusters, including deployment, optimization, and fixing issues.

- Kubernetes & AI/ML Workloads: Extensive experience with Kubernetes for container orchestration, resource scheduling, scaling, and integration with HPC environments.

- Linux & Storage Systems: Deep knowledge of Linux (RedHat/CentOS, Ubuntu), OS-level security, and protocols (TCP, DHCP, DNS). Experience with storage solutions such as Lustre, GPFS, ZFS, XFS, and emerging Kubernetes storage technologies.

- 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.

**Nice to Have**

- Experience with GPU-focused hardware and software (e.g., NVIDIA DGX, CUDA, GPU Operator).

- Solid hands-on knowledge of Kubernetes and container-based microservices architectures.

- Skills in large-scale computing and cluster computing, data center design include high-speed interconnect with Spectrum/InfiniBand, Cluster Storage and Scheduling related design and/or management experience.

- Knowledge of CI/CD pipelines for software deployment and automation.

- Background with RDMA-based fabrics (InfiniBand or RoCE) in HPC or AI environments.

## Skills

### Required
- Kubernetes
- HPC
- AI
- Cloud Computing
- DevOps
- Linux
- Python
- Bash
- Ansible
- Terraform
- Grafana
- Loki
- Prometheus

### Nice to have
- GPU-focused hardware and software
- NVIDIA DGX
- CUDA
- GPU Operator
- RDMA-based fabrics
- InfiniBand
- RoCE

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Australia-Remote/Solutions-Architect---NCP-DevOps_JR2027206?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)