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Lead Cloud Solutions Architect
Nebius — один из самых перспективных игроков на рынке AI-облаков с листингом на Nasdaq. Позиция предлагает работу с передовым оборудованием (H200/B200), высокую степень свободы и возможность влиять на глобальную AI-экономику.
Сложность вакансии
Роль требует редкого сочетания глубоких знаний в области GPU-инфраструктуры (CUDA, ML-фреймворки) и управленческого опыта уровня Lead. Кандидат должен обладать менталитетом 'player-coach' и уметь выстраивать процессы в быстрорастущей AI-компании.
Анализ зарплаты
Предлагаемая позиция Lead-уровня в европейском подразделении Nebius соответствует верхнему сегменту рынка для Cloud Solutions Architects. Учитывая специализацию на AI/GPU, совокупный доход может быть выше среднего за счет бонусов и опционов.
Сопроводительное письмо
I am writing to express my strong interest in the Lead Cloud Solutions Architect position at Nebius. With over five years of experience in cloud-native systems and a proven track record of leading high-expertise engineering teams, I am excited about the opportunity to drive customer success in the EU region. My background in Infrastructure as Code, Kubernetes, and cloud automation aligns perfectly with your mission to provide cutting-edge GPU AI Cloud resources.
In my previous roles, I have successfully balanced technical leadership with hands-on architectural design, fostering cultures of excellence and customer empathy. I am particularly drawn to Nebius's focus on massive GPU cloud scale and the opportunity to work with advanced hardware like H200 and B200. I am confident that my experience in optimizing ML/AI pipelines and my player-coach mentality will allow me to effectively mentor the Solutions Architects team and contribute to the evolution of your product roadmap.
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Откликнитесь в nebius уже сейчас
Присоединяйтесь к Nebius, чтобы возглавить команду архитекторов и формировать будущее глобальной AI-инфраструктуры!
Описание вакансии
Why work at NebiusNebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we workHeadquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The team
Customer experience at Nebius GPU AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.
The role
We are seeking a highly skilled and customer-focused leader to join our team as a Cloud Solutions Architect Lead.As a team leader, you will play a pivotal role in customer success across EU region, both managing the efforts of Cloud Solutions Architects team (technical and process excellence, talent development) and building processes alongside your stakeholders. Player-coach mentality and proven track record of managing high expertise teams is a must.
You’re welcome to work from our office in Amsterdam or remotely from any EU country.
Your responsibilities will include:
- Lead and mentor a team of Solutions Architects, fostering a culture of technical excellence, customer empathy, and collaborative execution.
- Oversee and participate in technical engagements including PoCs, workshops, architecture reviews, and trainings.
- Drive consistency and quality across infrastructure design, IaC practices, technical documentation, and customer enablement content.
- Collaborate closely with Product and Development teams, representing customer needs and helping shape the roadmap.
- Guide customers in optimizing ML/AI/HPC pipelines for performance, scalability, and cost-efficiency on Nebius cloud infrastructure.
- Build visibility and ownership culture amongst Solutions Architects.
We expect you to have:
- 5+ years of experience in a technical role (Solutions Architect, DevOps Engineer, ML Engineer, or similar) with a focus on cloud-native systems and distributed computing.
- 2+ years of experience leading or mentoring customer facing engineering teams.
- Deep hands-on experience with Infrastructure as Code (Terraform, Ansible), Kubernetes, and cloud automation.
- Strong communication and stakeholder management skills across both technical and non-technical audiences.
- Passion for developing scalable, reliable cloud architectures and driving customer success.
It will be an added bonus if you have:
- Experience with HPC or ML orchestration frameworks (e.g., Slurm, Kubeflow, Ray).
- Strong coding skills in Python and experience with GPU computing environments for ML/AI workloads.
- Proficient in GPU stack components (e.g., CUDA, cuDNN) and cloud-native patterns for ML training/inference.
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
- Understanding of cloud-based ML tools and offerings from NVIDIA, AWS, Azure, or Google Cloud.
- Experience participating in or leading technical contributions to conferences or open-source communities.
What we offer
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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Навыки
- Cloud Computing
- GPU Computing
- Kubernetes
- Terraform
- Ansible
- Python
- Machine Learning
- Artificial Intelligence
- CUDA
- PyTorch
- TensorFlow
- Infrastructure as Code
- HPC
- Kubeflow
Возможные вопросы на собеседовании
Проверка управленческого опыта и умения развивать команду экспертов.
Расскажите о вашем опыте управления командой высококвалифицированных инженеров: как вы балансируете между менторством и собственными техническими задачами?
Оценка технических знаний в специфической для Nebius области AI-инфраструктуры.
С какими основными проблемами производительности вы сталкивались при масштабировании ML-нагрузок на GPU-кластерах и как их решали?
Проверка навыков взаимодействия с клиентами и бизнесом.
Как вы подходите к проведению архитектурного ревью для крупного клиента, чтобы сбалансировать его требования к производительности и затраты на облако?
Оценка опыта работы с инструментами автоматизации.
Опишите ваш подход к реализации IaC (Terraform/Ansible) в среде Kubernetes для обеспечения воспроизводимости AI-экспериментов.
Проверка умения влиять на продукт через обратную связь от клиентов.
Приведите пример, когда требования клиента, переданные через вашу команду, существенно изменили дорожную карту развития облачного продукта.
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