Job Description

Senior VMware Engineer (Kubernetes/ Nvidia)

Santa Clara, CA

Duration: 24 months+

Would like someone that comes from a Private cloud company virtual cloud like a Vmware, Dell etc.

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

• Dice Id: 90941033
• Position Id: 8485743

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