Senior Solution Architect, Cloud Infrastructure-DevOps

Nvidia

Mumbai City

On-site

INR 4,000,000 - 7,000,000

Full time

14 days+
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Job summary

NVIDIA is seeking a Senior Cloud Infrastructure/DevOps Solutions Architect to join its Infrastructure Specialist Team. You will work on large-scale HPC/AI systems, building and automating infrastructure, monitoring, and deployment tooling to support customers and internal teams.

Ideal candidates have 8+ years in networking and data center design, plus hands-on experience with cloud platforms, HPC clusters, and orchestration tools, with excellent English communication skills.

Qualifications

  • 8+ years in networking fundamentals and data center architecture.
  • 5+ years designing and maintaining large HPC/AI clusters.
  • Experience with cloud platforms (AWS, Azure, Google Cloud) and with Slurm, Kubernetes, and Singularity.
  • Strong Windows/Linux networking, security protection, and APIs/protocols (TCP/IP, etc.).

Responsibilities

  • Develop and maintain CI/CD pipelines.
  • Automate deployment and management of large-scale infrastructure environments.
  • Deploy monitoring solutions for servers, network and storage.
  • Troubleshoot from bare metal to OS and application level.
  • Document standard methodologies and support R&D activities.

Skills

Networking
Linux fundamentals
Python scripting
Automation
English skills

Education

BS/MS/PhD or equivalent

Tools

Jenkins
Ansible
Puppet
Chef
Kubernetes
Slurm
Singularity

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, implement and maintain 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 CPUs and GPUs 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 (for example 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 worlds 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. .

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