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55 минут назад

Senior DevOps Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior DevOps Engineer (AI): Designing and evolving CI/CD pipelines and developer infrastructure for high-performance AI hardware systems with an accent on scalability, artifact lifecycle management, and cloud infrastructure optimization. Focus on building robust developer tooling, automating workflows, and driving architectural improvements to increase engineering productivity at scale.

Location: Hybrid (Sunnyvale, CA; Toronto, CAN)

Company

hirify.global Systems builds breakthrough AI hardware architecture, including the world's largest AI chips, to deliver industry-leading training and inference speeds for global model labs and enterprises.

What you will do

  • Design, build, and evolve CI/CD pipelines to support reliable build, test, and release workflows.
  • Own and improve artifact lifecycle systems, including versioning, storage, and dependency management.
  • Provision, monitor, and optimize cloud infrastructure supporting CI workloads.
  • Partner with development teams to improve code review workflows and branching strategies.
  • Troubleshoot complex build failures and infrastructure bottlenecks to drive root-cause analysis.
  • Provide technical leadership and mentor engineers within the Developer Productivity organization.

Requirements

  • 7+ years of professional experience in software, infrastructure, or DevOps engineering.
  • Deep hands-on experience with CI/CD systems and automated build/test infrastructure.
  • Strong understanding of Linux/Unix systems, networking, and scripting for automation.
  • Experience with containerization and orchestration, specifically Kubernetes.
  • Proficiency with cloud computing platforms, preferably AWS.
  • Demonstrated experience leading technical initiatives and driving improvements at organizational scale.

Nice to have

  • Experience with infrastructure-as-code tools and practices.
  • Proficiency in Python or Go.
  • Experience building internal developer platforms or self-service tooling.
  • Experience applying AI/LLM tooling to engineering workflows.

Culture & Benefits

  • Opportunity to work on one of the fastest AI supercomputers in the world.
  • Environment that balances startup vitality with job stability.
  • Non-corporate work culture that respects individual beliefs.
  • Focus on continuous learning, growth, and team support.

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