Solutions Architect – DevOps

🕒 March 31

🇦🇺 Australia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 46%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Maintain large scale computational and AI infrastructure • Focus on monitoring, logging, workload orchestration (Kubernetes and Linux job schedulers) • Optimize scalable, production-ready Kubernetes-based container platforms • Develop and document standard methodologies and operational guidelines • Perform end-to-end resolving across the stack • Support Enterprise, Research & Development activities • Deploy monitoring solutions for servers, network, and storage • Develop tooling to automate deployment and management of large-scale infrastructure environments • Create and deliver high-quality documentation • Become the technical leader for assigned customer accounts

🎯 Requirements

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields • 5+ years of professional experience in managing scalable cloud environments and automation engineering roles • Extensive experience with Kubernetes for container orchestration, resource scheduling, scaling, and integration with HPC environments • Proven understanding of networking fundamentals (TCP/IP stack), data center architectures, and hands-on experience managing HPC/AI clusters • Familiarity with HPC and AI technologies (CPUs, GPUs, high-speed interconnects) • 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 • Proficiency in Python and Bash scripting, configuration management, and Infrastructure-as-Code tools (e.g., Ansible, Terraform) • Experience with observability stacks (Grafana, Loki, Prometheus) • Strong background in crafting scalable solutions and providing consultative support to customers.

🏖️ Benefits

• NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.