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3 дня назад

Site Reliability Engineer (AI)

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France/UK/Spain +4 еще
Релокация
France
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Site Reliability Engineer (AI): Designing and maintaining scalable, fault-tolerant infrastructure for a Cloud platform with an accent on bare metal systems and distributed reliability. Focus on building abstraction layers between science and infrastructure, optimizing CI/CD for large training runs, and ensuring high availability of AI services.

Location: Primarily based in Paris or London. Remote candidates must be based in France, UK, Germany, Belgium, Netherlands, Spain, or Italy and are required to visit the Paris office for onboarding and at least 3 days per month.

Company

hirify.global is a pioneering AI company focused on democratizing high-performance, open-source, and cutting-edge AI models and solutions for enterprise and individual use.

What you will do

  • Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures.
  • Operate systems and troubleshoot production issues, including on-call responses and infrastructure scaling.
  • Implement monitoring, alerting, and incident response systems to minimize downtime.
  • Develop CI/CD workflows and containerization tools for customer-facing APIs and large-scale training runs.
  • Build a cloud platform abstraction layer between AI science, engineering, and infrastructure.
  • Collaborate with security teams to ensure infrastructure compliance and best security practices.

Requirements

  • Master’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in a DevOps/SRE role.
  • Strong experience with bare metal infrastructure and highly available distributed systems.
  • Hands-on expertise with Docker, Kubernetes, and IaC tools like Terraform or CloudFormation.
  • Proficiency in Python, Go, and Bash.
  • Experience with observability tools such as Prometheus, Grafana, ELK Stack, or Datadog.

Nice to have

  • Experience in an AI/ML environment.
  • Knowledge of high-performance computing (HPC) systems and workload managers (Slurm).
  • Experience with AI-oriented solutions like Fluidstack, Coreweave, or Vast.

Culture & Benefits

  • Competitive salary and equity.
  • Comprehensive health insurance and private pension plan.
  • Transportation and sport allowances, plus meal vouchers.
  • Generous parental leave policy.
  • Visa sponsorship available.
  • Culture of rigor, audacity, and low-ego collaboration.

Hiring process

  • Introduction call (30 min) and Manager interview (30 min).
  • Technical interviews covering System Design (45 min) and a Deep Dive (60 min).
  • Culture-fit discussion (30 min) and reference checks.

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