Senior Solutions Architect, Cloud Infrastructure and DevOps - NVIS

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.
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