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6 дней назад

DevOps Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
DevOps Engineer (AI): Building and maintaining automation, CI/CD pipelines, and cloud and datacenter infrastructure for the Cerebras software stack with an accent on scalable workflows, containerized environments, and software validation. Focus on developing Python and shell tools, managing Jenkins, Docker, Kubernetes, and AWS-based services, and troubleshooting software running on the Wafer Scale Engine.

Location: Toronto, Canada; hybrid

Company

hirify.global Systems develops AI computing hardware and software built around the Wafer Scale Engine, supporting high-speed model training and inference.

What you will do

  • Build and improve automation for software build, testing, deployment, and validation across cloud and datacenter environments.
  • Develop and maintain CI/CD pipelines for fast and reliable software development and testing.
  • Create Python and shell scripts and internal tools to automate engineering and operational tasks.
  • Deploy and manage development and testing environments using Docker, Kubernetes, and other container technologies.
  • Work with development and product management teams to monitor software quality and performance.

Requirements

  • Currently enrolled in a university program in Computer Science, Computer Engineering, or a related discipline.
  • Experience working in software development environments.
  • Proficiency in Python, shell scripting, and Makefiles.
  • Strong end-to-end triage, debugging, and troubleshooting skills.
  • Experience with Jenkins, CI/CD platforms, Docker, Kubernetes, and container technologies.
  • Experience building services on AWS or other cloud platforms at scale.

Nice to have

  • UI development experience.

Culture & Benefits

  • Opportunity to work on an AI platform designed to extend beyond GPU-based architectures.
  • Access to cutting-edge AI research, model releases, and open-source initiatives.
  • Work on one of the fastest AI supercomputers.
  • Startup vitality combined with job stability.
  • Non-corporate culture that respects individual beliefs and supports continuous learning and growth.

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