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Nebius · 1 month ago

Lead Cloud Solutions Architect

United States

Full-time

Remote

Senior Level, Lead/Staff

5+ years exp

Nebius is leading a new era in cloud computing to serve the global AI economy. They are seeking a highly skilled and customer-focused leader to join as a Cloud Solutions Architect Lead, where the individual will manage a team of Solutions Architects and optimize AI solutions for clients.

AI InfrastructureCloud InfrastructureGPUIaaSPaaS

Growth Opportunities

Responsibilities

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

Qualification

Cloud-native systemsInfrastructure as CodeKubernetesGPU computingPythonML orchestration frameworksDeep learning frameworksStakeholder managementCustomer empathyTechnical leadership

Required

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

Preferred

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

Benefits

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.

Company

Nebius

The Nebius AI Cloud brings powerful full-stack infrastructure for AI developers and practitioners across startups, enterprises and science institutes to build and deploy generative AI applications and rapidly deliver scientific breakthroughs by training and running ML models within a secure, high-performance, and cost-optimized cloud environment.

Founded in 2022

Amsterdam, Noord-Holland, NLD

501-1000 employees