Site Reliability Engineer (Hybrid) ||San Jose, CA

DMS Vision•Frisco, AL
•Hybrid

About The Position

The Site Reliability Engineer will support AI infrastructure, with responsibility for the reliability of NVIDIA DGX/GPU and Cisco UCS infrastructure. The role focuses on availability, latency, scalability, and efficiency, applying engineering reliability practices throughout the development life cycle and emphasizing fault-tolerant approaches. The engineer will drive capacity planning, performance analysis, instrumentation, and other non-functional systems requirements. They will automate operational capabilities and deliver automation through CI/CD pipelines and chatbots, while implementing metrics-driven processes to ensure service quality targets are met. The position is hybrid and located in San Jose, California. The posting lists a six-month duration.

Requirements

  • Infrastructure knowledge of NVIDIA DGX A100, H100, or H200 systems and/or Cisco UCS-C885A.
  • Technical knowledge of high-performance computing, NVIDIA DGX/GPUs, and/or Cisco Unified Compute System.
  • Experience or knowledge with DevOps automation and CI/CD systems, such as GitLab, GitHub Actions, or Jenkins.
  • Knowledge of Terraform, Ansible, Jenkins, and Python.
  • Knowledge of enterprise-grade Kubernetes clusters, such as Red Hat OpenShift and/or Google Anthos.

Nice To Haves

  • NVIDIA-certified professionals are preferred.
  • Red Hat OpenShift is preferred for enterprise-grade Kubernetes cluster experience.

Responsibilities

  • Handle availability, latency, scalability, and efficiency of NVIDIA and Cisco UCS infrastructure.
  • Instill engineering reliability into the development life cycle, with a focus on fault-tolerant approaches.
  • Drive capacity planning, performance analysis, instrumentation, and other non-functional systems requirements.
  • Automate operational capabilities using tools and languages such as Python, Ansible, Terraform, and Go.
  • Deliver automation through CI/CD pipelines and chatbots.
  • Implement metrics-driven processes to ensure service quality targets are met.
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