Senior Solutions Architect, Cloud Infrastructure and DevOps - NVIS

NVIDIA; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading technology company in Riyadh is seeking an experienced professional to develop and maintain CI/CD pipelines and automate large-scale infrastructure management. Candidates should possess significant experience in networking, HPC, and Kubernetes. The role involves troubleshooting and operational monitoring, contributing to a diverse and innovative team advancing AI and HPC technologies. Competitive salaries and benefits are offered.

Benefits

Highly competitive salaries

Extensive benefits package

Promotes diversity and inclusion

Qualifications

• 8+ years of professional experience in networking fundamentals and data center architecture.
• Extensive knowledge of HPC and AI technologies.
• Experience managing and installing HPC clusters.

Responsibilities

• Develop CI/CD pipelines.
• Automate deployment and management of infrastructure.
• Deploy monitoring solutions for servers and networks.

Skills

Networking fundamentals

Linux systems

Kubernetes

Python programming

Automation tools

Troubleshooting

Education

BS / MS / PhD in relevant fields

Tools

Jenkins

Ansible

Puppet / Chef

Job description

Overview

Develop and maintain continuous integration and delivery pipelines. Develop 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. Deploy monitoring solutions for the servers, network and storage. Perform troubleshooting bottom up from bare metal, operating system, software stack and application level. Being a technical resource, develop, re-define and document standard methodologies to share with internal teams Support Research & Development activities and engage in POCs / POVs for future improvements.

What We Need To See

• BS / MS / PhD or equivalent experience in Computer Science, Electrical / Computer Engineering, Physics, Mathematics, or related fields.
• At least 8 years of professional experience in networking fundamentals, TCP / IP stack, and data center architecture.
• Knowledge of HPC and AI solution technologies, including CPUs, GPUs, high-speed interconnects, and supporting software.
• Extensive knowledge and hands-on experience with Kubernetes, including container orchestration for AI / ML workloads, resource scheduling, scaling, and integration with HPC environments.
• Experience in managing and installing HPC clusters, including deployment, optimization, and troubleshooting.
• Excellent knowledge of Linux systems (Redhat / CentOS and Ubuntu), including internals, ACLs, OS-level security protections, and common protocols like TCP, DHCP, DNS, etc.
• Experience with multiple storage solutions, including Lustre, GPFS, ZFS, and XFS.
• Familiarity with newer and emerging storage technologies is a plus.
• Proficiency in Python programming and bash scripting.
• Comfortable with automation and configuration management tools, including Jenkins, Ansible, Puppet / Chef, etc.

Ways To Stand Out From The Crowd

• Knowledge of CI / CD pipelines for software deployment and automation.
• Knowledge of Kubernetes, container related microservice technologies.
• Experience with GPU-focused hardware / software (DGX, CUDA).
• Background with RDMA (InfiniBand or RoCE) fabrics.

NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization.

Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology.

We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility.

As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.

JR1998391

Candidates should have a BS / MS / PhD or equivalent experience in relevant fields and at least 8 years of professional experience in networking and data center architecture.

Extensive knowledge of HPC and AI technologies, Kubernetes, and Linux systems is required.