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Senior Devops Engineer – Enterprise Systems
| Company | Sustainable Talent |
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| Location | Santa Clara, CA, USA |
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| Salary | $100 – $120 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Expert or higher |
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Requirements
- Bachelor’s or Master’s Degree in Computer Science or Software Engineering, or equivalent experience
- 10+ years of proven experience with 5+ years of Linux and Scripting experience
- Solid background on Enterprise Systems and Clustering architectures
- A track record of quickly understanding new technologies outside of your domain expertise and deploying systems in complex configurations from hardware through multiple layers of software in a fast-paced environment
- Strong technical skills and understanding of embedded systems, orchestration & automation systems, data centers and cloud architecture, as well as excellent communication and planning skills
- Strong problem-solving ability and experience in product engineering/failure analysis and debug/ HW or test design
- Understanding of dense datacenter design including compute, Storage and networking
Responsibilities
- Work with NVIDIA Product Teams to understand new product requirements including HPC and AI/ML Products
- Finding Optimum Solutions to deploy these products in a Datacenter or a Lab environment using sophisticated design techniques, services and tools
- Assist in roll-out and deployment of new development features aimed at supporting the latest NVIDIA hardware and technologies
- Work closely with world-class engineers, architects, technical product managers and application developers setting the best strategies in place for a product launch
- Defining and implementing full scale solutions for product onboarding into our hosted and private cloud environments
- Solve critically layered problems involving multi-site deployments of NVIDIA products
- Collaborate with multi-functional teams, including system engineering, software engineering, mechanical/thermal engineering, operations, data center teams, external vendors, and other partners to optimally deliver a reliable and robust platform from concept to prototype to deployments
- Directly contribute to the overall quality of deployments and improve time to market next gen products
Preferred Qualifications
- Experience in large scale QA environments, for product bring ups
- Background with supporting GPUs, embedded device development, driver development and CUDA applications
- Special skills in large-scale computing and cluster computing(MPI), data center design include high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience
- Experience with converged and hyper-converged hardware and servers
- Background with Python and familiarity with Jenkins, Ansible and REST APIs with expert level background with Windows & Linux administration
