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13 дней назад

Site Reliability Engineer (AI Platform)

69 768 - 96 900€
Формат работы
hybrid/onsite
Тип работы
fulltime
Английский
b2
Страна
France
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Site Reliability Engineer (AI Platform) (Kubernetes/Cloud Infrastructure/AI): Building and operating highly available production infrastructure for AI-related workloads with an accent on Kubernetes platforms, observability, CI/CD, and Infrastructure as Code. Focus on improving reliability through SLOs and capacity management, investigating production incidents, and automating complex cloud operations at scale.

Location: Paris, France; roles listed within a specific city are available only in that location, with either a hybrid-remote or in-office schedule depending on the role.

Annual base salary: €69,768–€96,900 EUR

Company

hirify.global provides a search and product discovery platform that turns products, content, and business rules into actionable experiences for people, applications, and AI agents.

What you will do

  • Build and operate production infrastructure for AI-related workloads and services.
  • Operate and improve highly available Kubernetes-based platforms.
  • Improve reliability through SLOs, observability, alerting, and capacity management.
  • Investigate production incidents and implement durable fixes across networking, databases, compute, and service infrastructure.
  • Improve CI/CD pipelines, deployment automation, Infrastructure as Code, and developer experience.
  • Participate in on-call rotations, incident response, and operational improvements while progressively taking ownership of broader production areas.

Requirements

  • Hands-on Kubernetes experience, including workloads, resource management, and production operations.
  • Strong experience with Infrastructure as Code and the lifecycle of cloud infrastructure.
  • Experience building and operating CI/CD pipelines and automated deployment workflows.
  • Hands-on experience with at least one major cloud provider: GCP, AWS, or Azure.
  • Understanding of networking, distributed systems, reliability engineering, monitoring, observability, and production troubleshooting.
  • Excellent written and spoken English, with an automation mindset and ability to take ownership of production systems.

Nice to have

  • Go or Python engineering experience.
  • Exposure to AI/ML infrastructure and inference systems.
  • Experience using coding agents, agentic workflows, and AI-assisted debugging.

Culture & Benefits

  • Flexible workplace model focused on individual impact, contribution, and output.
  • High-trust environment with autonomy over where and when to work, subject to the role's location and schedule.
  • Options for hybrid-remote or in-office work for eligible Paris-based roles.
  • Values centered on grit, trust, candor, care, and humility.
  • Inclusive workplace supporting autonomy, diversity, and collaboration.

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