Senior Solution Architect, Cloud Infrastructure-DevOps

NVIDIA Gruppe; Mumbai; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

NVIDIA Gruppe is seeking a Senior Cloud Infrastructure/DevOps Solutions Architect to join its Infrastructure Specialist Team in Mumbai, India. In this role, you will work collaboratively to develop and maintain large-scale infrastructure projects, focusing on networking, system design, and automation.

The ideal candidate will have extensive experience in HPC/AI clusters, cloud computing platforms, and strong troubleshooting skills across numerous technology stacks.

Qualifications

• 8+ years of experience in networking fundamentals and data center architecture.
• 5+ years managing large scale HPC/AI clusters.
• Experienced with cloud computing platforms and orchestration technologies.
• Strong knowledge of Linux networking and security protocols.

Responsibilities

• Develop and maintain CI/CD pipelines.
• Create tools for automated management of large-scale infrastructure.
• Deploy server and network monitoring solutions.
• Troubleshoot issues across the entire system stack.
• Document best practices for internal teams.

Skills

Networking fundamentals

Cloud computing (AWS, Azure, Google Cloud)

Python programming

Bash scripting

Linux job/workload management

Monitoring solutions

Orchestration technologies (e.g., Kubernetes, Slurm)

Troubleshooting skills

Education

BS/MS/PhD in Computer Science or related field

Tools

Jenkins

Ansible

Puppet/Chef

Job description

NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. For over 25 years, we have been at the forefront of research and engineering around the greatest advances in technology. Our history of innovation drives us to solve the worlds hardest problems.

NVIDIA is looking for Senior Cloud Infrastructure/DevOps Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer!

What You’ll Be Doing

• 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, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 8 years work or research experience in networking fundamentals, TCP/IP stack, and data center architecture.
• 5+ Years of design, implementation and maintenance of large scale HPC/AI clusters with monitoring, logging and alerting. Manage Linux job/workload schedulers and orchestration tools.
• Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software.
• Direct design, implementation and management experience with cloud computing platforms (e.g. AWS, Azure, Google Cloud). Experience with job scheduling workloads and orchestration technologies such as Slurm, Kubernetes and Singularity.
• Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalld, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc.
• Experience with multiple storage solutions such as Lustre, GPFS, zfs and xfs. Familiarity with newer and emerging storage technologies.
• Python programming and bash scripting experience. Comfortable with automation and configuration management tools including Jenkins, Ansible, Puppet/Chef, etc.
• Deep knowledge of networking protocols like InfiniBand, Ethernet. Deep understanding and experience with virtual systems (e.g. VMware, Hyper‑V, KVM, or Citrix).
• Strong written, verbal, and listening skills in English are critical.

Ways To Stand Out From The Crowd

• Knowledge of CPU and/or GPU architecture.
• Knowledge of Kubernetes, container related microservice technologies.
• Experience with GPU-focused hardware/software (DGX, CUDA).
• Background with RDMA (InfiniBand or RoCE) fabrics.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you’re creative and autonomous, we want to hear from you.