Назад
4 дня назад

Technical Operations & Project Management (Early Talent)

Формат работы
onsite
Тип работы
project
Грейд
trainee
Английский
b2
Страна
Netherlands/Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Technical Operations & Project Management (Early Talent) (AI cloud infrastructure): Monitoring and improving GPU node repair, node acceptance, and infrastructure maintenance processes across data centers with an accent on operational metrics, SLA compliance, and cross-functional coordination. Focus on investigating repair and acceptance bottlenecks, coordinating maintenance activities, and improving dashboards, documentation, and ticketing processes.

Location: Amsterdam or Tel-Aviv. The program lasts 3 months and starts in January 2027. Applicants must be authorized to work in the country where they apply.

Compensation: Paid; competitive compensation.

Company

Nebius builds a full-stack AI cloud platform supporting data preparation, model training, and production deployment, with infrastructure spanning compute, storage, networking, and applied AI.

What you will do

  • Monitor GPU node availability, repair backlogs, acceptance results, operational metrics, and SLA compliance across regions and clusters.
  • Track failed acceptance tests, delayed repairs, outstanding actions, and dependencies, following up with responsible engineering teams.
  • Investigate recurring repair and acceptance issues with Hardware Infrastructure and Platform teams and identify process improvements.
  • Maintain operational dashboards, Jira tickets, status reports, monitoring procedures, and documentation.
  • Help plan and coordinate smaller infrastructure maintenance activities, including network switch replacements, timelines, checklists, communications, and execution reporting.
  • Support additional initiatives such as extending node repair processes to CPU and worker nodes and improving Major Maintenance documentation.

Requirements

  • Currently completing or recently completed a degree in engineering, computer science, information systems, operations management, or a related field.
  • Strong analytical and problem-solving skills, with the ability to work with data and operational metrics.
  • Ability to organize information, track multiple activities, and follow up on outstanding tasks.
  • Clear communication skills and comfort collaborating with technical specialists and managers.
  • Proactive approach to identifying problems and investigating their causes rather than only reporting them.
  • Ability to work with established processes while identifying opportunities to improve them.
  • Attention to detail and responsibility for completing assigned tasks.
  • Interest in cloud infrastructure, technical operations, and cross-functional project management.
  • Work authorization in the country where the applicant applies.

Nice to have

  • Basic knowledge of cloud infrastructure, servers, networking, or data center operations.
  • Experience with monitoring or data visualization tools such as Grafana.
  • Familiarity with SQL or other data analysis tools.
  • Experience with Jira, Confluence, or similar collaboration tools.
  • Experience coordinating university, volunteer, or personal projects involving multiple participants.
  • Interest in infrastructure operations, reliability engineering, or technical project management.

Culture & Benefits

  • Hands-on experience operating and maintaining large-scale AI cloud infrastructure.
  • Exposure to infrastructure failure detection, investigation, resolution, operational monitoring, SLA management, and incident prevention.
  • Collaboration with hardware infrastructure, compute, networking, and platform engineering teams.
  • Career growth and learning opportunities, with flexibility and ownership.
  • Collaborative, innovative, and international working environment with work on impactful AI projects.
  • Potential discussion of a full-time continuation opportunity after the program, subject to performance, mutual fit, and business needs.

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