Lead Cloud Solutions Architect

Nebius
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Nvidia CUDA
DevOps
Distributed Systems
General-Purpose Computing on Graphics Processing Units
Python
Cloud Services
Ansible
TensorFlow
Google Cloud Platform
PyTorch
Deep Learning
Kubernetes
Slurm
Terraform

Job description

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

Requirements

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

Benefits & conditions

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. Hybrid 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! #J-18808-Ljbffr

About the company

Get AI-powered advice on this job and more exclusive features. Nebius 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 work Headquartered 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 800 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

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