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2 дня назад

Senior Infrastructure and DevOps Systems Engineer (AI/HPC)

100 550 - 194 270$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Infrastructure and DevOps Systems Engineer (AI/HPC): Designing, deploying, automating, and troubleshooting large-scale Linux, AI, and HPC environments with an accent on infrastructure automation, cluster management, software distribution, and platform security. Focus on integrating hardware, firmware, operating systems, networking, middleware, and applications while building reliable CI/CD, observability, and AI-assisted development workflows.

Location: Hybrid, with on-site and off-site work at assigned Intel sites in Hillsboro, Oregon; Phoenix, Arizona; Folsom and Santa Clara, California; or Beaver Brook, Massachusetts. The role is performed in the United States.

Annual salary: $100,550–$194,270 USD.

Company

Intel develops technology platforms and hardware and software products; this role supports infrastructure for product development, validation, and production workloads.

What you will do

  • Design, deploy, automate, integrate, secure, and troubleshoot Linux-based systems across development, validation, and production environments.
  • Develop infrastructure automation and CI/CD solutions using Ansible, Python, Bash, Jenkins, Git, and related DevOps technologies.
  • Deploy, configure, and support large-scale AI and HPC clusters using Warewulf, HPCM, Kubernetes, and related virtualization and orchestration technologies.
  • Manage RPM repositories, package dependencies, Lmod modules, software distribution, and compute-environment deployments.
  • Implement observability, reliability, security, vulnerability remediation, patching, and system-hardening solutions, including ELK.
  • Lead system integration and root-cause debugging across hardware, firmware, BMC/openBMC, Linux, networking, middleware, and applications while partnering across engineering disciplines.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, or a related technical field.
  • 3+ years of experience administering, integrating, and troubleshooting Linux systems in enterprise or distributed computing environments.
  • 3+ years of experience developing software, automation, or infrastructure solutions using Python and/or Bash.
  • Experience developing infrastructure automation with configuration-management technologies such as Ansible.
  • Experience with RPM-based Linux distributions, package management, and software repositories.
  • Experience with CI/CD and software-development workflows using Jenkins, Git, or equivalent technologies.
  • Strong analytical, system-debugging, and problem-solving skills, plus the ability to collaborate and communicate across engineering disciplines and cross-functional teams.
  • Demonstrated ownership, accountability, passion for automation and operational excellence, continuous improvement, and continuous learning.

Nice to have

  • Experience supporting HPC, AI, GPU, or large-scale distributed compute and validation environments.
  • Experience provisioning and managing multi-node Linux clusters using Warewulf, HPCM, xCAT, Bright Cluster Manager, Slurm, or equivalent technologies.
  • Experience building custom Linux OS images, RPM packages, and enterprise software repositories with Satellite, Pulp, Nexus, Artifactory, or similar solutions.
  • Experience managing compiler, library, middleware, AI framework, and application environments using Lmod, Environment Modules, or equivalent technologies.
  • Experience with containerization, orchestration, and virtualization, including Kubernetes, Docker, KVM, VMware, or OpenStack.
  • Experience with systems observability, platform security, and firmware integration, including ELK, security patching, vulnerability remediation, OS hardening, and openBMC.
  • Experience using AI-assisted development and agentic workflows with GitHub Copilot, Cursor, or similar technologies.

Culture & Benefits

  • Hybrid work model combining on-site work at an assigned Intel site with off-site work.
  • Health, retirement, and vacation benefits.
  • Competitive pay and stock bonuses.
  • Equal employment consideration is provided in accordance with applicable local laws and protected characteristics.

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