Solutions Architect – NCP DevOps

This is a fully remote position, open to applicants in Australia.

📋 Description

• Oversee large-scale computational and AI infrastructure, with a focus on monitoring, logging, and workload orchestration.

• Enhance production-ready Kubernetes container platforms by implementing enterprise-grade networking and storage solutions.

• Create, improve, and document standard practices and operational guidelines for internal teams.

• Lead technical interactions and assist customers in troubleshooting and resolving intricate issues.

• Support Enterprise and Research & Development initiatives and take part in POCs/POVs.

• Collaborate with APAC Regional and HQ Engineering, Product, and Sales teams to devise solutions for partners.

• Build tools to automate deployment, infrastructure management, monitoring, alerting, and self-service resource utilization.

• Produce documentation, including runbooks, onboarding materials, and best-practice guides.

• Serve as the technical lead for designated customer accounts, offering strategic guidance on DevOps and platform architecture.

⛳️ Requirements

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related disciplines.

• Over 5 years of professional experience in managing scalable cloud environments and in automation engineering roles.

• Familiarity with HPC and AI technologies, encompassing CPUs, GPUs, high-speed interconnects, and associated software stacks.

• Understanding of TCP/IP networking principles and data center architectures.

• Hands-on experience in managing HPC/AI clusters, including deployment, optimization, and troubleshooting.

• Extensive experience with Kubernetes for container orchestration, resource scheduling, scaling, and HPC integration.

• Profound knowledge of Linux, including RedHat/CentOS and Ubuntu distributions.

• Awareness of OS-level security as well as TCP, DHCP, and DNS protocols.

• Experience with Lustre, GPFS, ZFS, XFS, and cutting-edge Kubernetes storage technologies.

• Proficient in Python and Bash scripting.

• Experience with configuration management and Infrastructure-as-Code tools like Ansible and Terraform.

• Familiarity with observability stacks such as Grafana, Loki, and Prometheus.

• Strong background in scalable solution architecture and consultative customer support.

• Experience with GPU-oriented hardware and software, including NVIDIA DGX, CUDA, and GPU Operator.

• Practical knowledge of Kubernetes and container-based microservices architectures.

• Experience with large-scale computing, cluster computing, data center design, high-speed interconnects, cluster storage, and scheduling.

• Understanding of CI/CD pipelines.

• Background in RDMA-based fabrics, including InfiniBand or RoCE, within HPC or AI settings.

🏝️ Benefits

• Equal opportunity employer dedicated to fostering a diverse work environment.

• NVIDIA's employer benefits are not otherwise specified in the posting.