Job description

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a Site Reliability Engineer to support our client's team based out of in Santa Clara, Ca. This is a full-time (W-2) contract role. We offer competitive pay $65/hr - $85/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture! We're looking for a Site Reliability Engineer (Contract) to work in IPP (Infrastructure, Planning and Process). IPP is a global organization within NVIDIA. This group works with various other groups within NVIDIA Software such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure needs. These cloud services provide almost half a million automated jobs per day on thousands of servers helping with the efficiency of thousands of NVIDIA's software engineers worldwide. The cloud hosts a heterogeneous mix of machines and devices with various operating systems (Windows/Linux/Android), a multitude of hardware platforms both NVIDIA GPUs and Tegra Processors. Are you passionate about infrastructure and looking for sophisticated, relevant issues, ready to build the next generation of cloud services, craft creative solutions, mine through data to uncover real problems and fix them? We would be excited to have you onboard. What you'll be doing: Fleet monitoring & recovery of assets in our private cloud environment that houses several compute servers with NVIDIA GPUs. Specific focus on building and stabilizing our virtualization infrastructure of ESXi, KVM and Hyper-V. Deploy and maintain a large farm of machines using the latest Configuration Management & Infrastructure Automation tools (Chef, Ansible, Terraform). Participate in on-call & rotational L1 support for round-the-clock monitoring and remediation of infrastructure issues (PagerDuty) Analyze and Debug operating system, networking, configuration and performance problems. Assist in roll-out and deployment of infrastructure configurations to supporting the latest NVIDIA hardware and technologies. Contribute to the development of monitoring systems to have fast, reliable and real-time pulse of the various infrastructure subsystems (Zabbix, Big Panda, Grafana) What we need to see: Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience. Experience working in large scale enterprise production systems. 5+ years of professional experience required. Ability to debug and analyze system issues, code to triage, root cause and resolve issues in the infrastructure. Work closely with the platform engineering team in understanding hardware setups. Familiar with maintenance and setup of Linux, Windows hosts Scripting experience with any of Python, Go. Unix shell proficiency. Experience with version control systems like Perforce, GIT. Ways to stand out from the crowd: Experience with VM and hardware virtualization technologies like VMware, KVM, Hyper-V, Docker and Kubernetes. Background with automating bare metal and VM provisioning. Experience with supporting GPUs, embedded device development, driver development and CUDA/TensorRT applications. Development experience in Chef, Ansible and infrastructure orchestration. Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

Requirements

Must-haves

This is a full-time (W-2) contract role. We offer competitive pay $65/hr - $85/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!
Fleet monitoring & recovery of assets in our private cloud environment that houses several compute servers with NVIDIA GPUs.
Specific focus on building and stabilizing our virtualization infrastructure of ESXi, KVM and Hyper-V.
Deploy and maintain a large farm of machines using the latest Configuration Management & Infrastructure Automation tools (Chef, Ansible, Terraform).
Participate in on-call & rotational L1 support for round-the-clock monitoring and remediation of infrastructure issues (PagerDuty)
Analyze and Debug operating system, networking, configuration and performance problems.
Assist in roll-out and deployment of infrastructure configurations to supporting the latest NVIDIA hardware and technologies.
Contribute to the development of monitoring systems to have fast, reliable and real-time pulse of the various infrastructure subsystems (Zabbix, Big Panda, Grafana)
Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience.
Experience working in large scale enterprise production systems. 5+ years of professional experience required.
Ability to debug and analyze system issues, code to triage, root cause and resolve issues in the infrastructure. Work closely with the platform engineering team in understanding hardware setups.
Familiar with maintenance and setup of Linux, Windows hosts
Scripting experience with any of Python, Go. Unix shell proficiency.
Experience with version control systems like Perforce, GIT.
Experience with VM and hardware virtualization technologies like VMware, KVM, Hyper-V, Docker and Kubernetes.
Background with automating bare metal and VM provisioning.
Experience with supporting GPUs, embedded device development, driver development and CUDA/TensorRT applications.
Development experience in Chef, Ansible and infrastructure orchestration.
Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

Nice-to-haves

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pythongodockerkubernetes

Platform: greenhouse
Effort: quick

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