Senior DevOps Engineer

NVIDIA
Zurich
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 10+ yearsEducation: bachelorsSkills: ["Creative problem-solving","Collaboration","Written and verbal communication","Problem-solving","Staying current"]

Design, build, and maintain robust HPC and cloud infrastructure, including bare metal servers, network switches, and VMs. Automate deployment and configuration of network and compute resources, and develop streamlined CI/CD pipelines for R&D teams. Optimize infrastructure for availability, performance, observability, security, scalability, and cost-efficiency. Troubleshoot issues across infrastructure, networking, hardware, and software while partnering with software teams to embed testing into deployment workflows.

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FursaFursa
NVIDIA
NVIDIA
1 week ago

Senior DevOps Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Design, build, and maintain robust HPC and cloud infrastructure, including bare metal servers, network switches, and VMs. Automate deployment and configuration of network and compute resources, and develop streamlined CI/CD pipelines for R&D teams. Optimize infrastructure for availability, performance, observability, security, scalability, and cost-efficiency. Troubleshoot issues across infrastructure, networking, hardware, and software while partnering with software teams to embed testing into deployment workflows.
Location: Zurich
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Design, build, and maintain HPC and cloud infrastructure using modern technologies and hardware.
  • •Automate deployment, configuration, and management of network and compute resources, including bare metal servers, switches, and VMs.
  • •Develop and streamline CI/CD pipelines to support continuous integration and delivery for R&D engineering teams.
  • •Optimize infrastructure for availability, performance, observability, security, scalability, and cost-efficiency.
  • •Troubleshoot and resolve issues across infrastructure, networking, hardware, and software environments; apply DevOps best practices.

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
  • •10+ years building and maintaining DevOps processes with a focus on automation and reliability.
  • •Solid experience with major Linux distributions (CentOS, Ubuntu, RedHat) and scripting in Bash, Python, or Groovy.
  • •Deep understanding of Linux virtualization (QEMU/KVM, Docker) and orchestrators such as Kubernetes.
  • •Hands-on configuration management experience (e.g., Ansible) and strong on-premises networking and compute infrastructure.
Experience:10+ years
Education:Bachelor's in Computer Science, Data Science, Engineering, or related field
Skills:Creative problem-solvingCollaborationWritten and verbal communicationProblem-solvingStaying current
Languages:English
Tech Stack:HPCCloud infrastructureCentOSUbuntuRedHatBashPythonGroovyQEMUKVMDockerKubernetesAnsibleCI/CDJenkinsGitHubGitLabGitHub ActionsVMsLinux

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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