Назад
3 дня назад

Head of Platform (AI Cloud)

Тип работы
fulltime
Грейд
head
Английский
b2
Страна
UK/US/Netherlands +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Head of Platform (AI Cloud): Defining and scaling the platform between core infrastructure and the engineering teams and customers building on Nebius's AI cloud, with an accent on compute orchestration, internal APIs, observability, reliability, and developer experience. Focus on building the platform engineering function, setting SLOs and SLAs, leading architecture and resourcing decisions, and translating ambiguous goals into measurable platform initiatives.

Location: Amsterdam, Netherlands. Willingness to travel across multiple geographies is required. Applicants must be authorized to work in the country in which they apply.

Company

Nebius builds a full-stack AI cloud platform for data and model training, production deployment, compute, storage, networking, and applied AI.

What you will do

  • Manage and develop a platform engineering team while aligning delivery with technical and commercial priorities.
  • Own the platform strategy and roadmap across developer tooling, compute orchestration, internal APIs, observability, and self-service capabilities.
  • Define reliability standards, SLOs, and SLAs, and improve availability, performance, and incident response.
  • Partner with infrastructure, data centre operations, product engineering, security, compliance, and finance to evolve the platform at scale.
  • Lead decisions on architecture, scope, resourcing, platform trade-offs, and production escalations.
  • Turn ambiguous goals into structured initiatives with clear ownership, milestones, and measurable outcomes.

Requirements

  • Track record of building and operating platform engineering functions at scale.
  • Entrepreneurial experience creating new functions, structures, or standards in early-stage or ambiguous environments.
  • Deep technical fluency in platform and infrastructure engineering, including Kubernetes, bare-metal compute orchestration, cloud-native architecture, observability, CI/CD, and internal developer platforms.
  • Familiarity with data centre infrastructure, capacity, deployment sequencing, and operational trade-offs.
  • Experience working with senior technical and executive stakeholders on architectural and resourcing decisions.
  • Authorization to work in the country of application and willingness to travel are required.

Culture & Benefits

  • Competitive compensation.
  • Career growth and learning opportunities.
  • Flexibility, ownership, and a collaborative working environment.
  • Opportunity to work on impactful AI projects.
  • International environment with teams across Europe, the UK, North America, and Israel.

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