Solutions Architect

Nebius Group

. Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements .

Posted 10/19/2026full-timeRemote • United StatesMid-LevelSenior💰 $250,000 - $320,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in cloud solutions architecture with a strong focus on infrastructure-as-code, GPU computing practices, and customer engagement. Proficient in optimizing cloud resource performance and scalability while providing technical guidance and support.

Highest-signal resume keywords

Cloud Solutions ArchitectureInfrastructure As CodeKubernetes ExperiencePython Programming SkillsGPU Computing Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Infrastructure As CodeConfiguration Management ToolsTerraformAnsibleKubernetesPythonGPU ComputingCUDAOpenCLHPC/ML Orchestration

Soft Skills

Excellent Communication SkillsCustomer-Centric Mindset

Tools & Technologies

Nebius AI CloudTensorFlowPyTorchNVIDIA Cloud ML ToolsAWSAzureGoogle Cloud

Industry Keywords

Cloud ComputingMachine LearningDeep LearningTechnical DocumentationProofs Of Concept

Tech Stack

Tools & technologies

AnsibleAWSAzureCloudKubernetesPythonPyTorchTensorflowTerraform

About the role

Key responsibilities & impact

Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements
Conduct proofs of concept, workshops, presentations, and training sessions on GPU cloud technologies and best practices
Understand customer business requirements and develop aligned solution architectures
Design and document infrastructure-as-code solutions, technical documentation, and how-tos with support engineers and technical writers
Optimize customer pipeline performance and scalability for efficient use of Nebius AI cloud resources and services
Serve as the primary subject-matter expert for customer scenarios across product, technical support, and marketing teams
Support marketing efforts during hackathons, conferences, workshops, webinars, and other events

Requirements

What you’ll need

5–10+ years of experience as a cloud solutions architect, system/network engineer, developer, or similar technical role focused on cloud computing
Bachelor’s degree or foreign equivalent in a related field, or equivalent combination of education and relevant experience
Strong hands-on experience with infrastructure as code and configuration management tools, preferably Terraform/Ansible
Kubernetes experience
Python programming skills
Solid understanding of GPU computing practices for ML training and inference workloads
Knowledge of GPU software stack components, including drivers and libraries such as CUDA and OpenCL
Excellent communication skills
Customer-centric mindset
Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility
Experience with HPC/ML orchestration frameworks such as Slurm or Kubeflow is an added bonus
Experience with deep learning frameworks such as TensorFlow or PyTorch is an added bonus
Understanding of cloud ML tools from NVIDIA, AWS, Azure, or Google is an added bonus

Benefits

Comp & perks

100% company-paid medical, dental, and vision coverage for employees and families
401(k) plan with up to 4% company match and immediate vesting
20 weeks paid parental leave for primary caregivers and 12 weeks for secondary caregivers
Remote work reimbursement up to $85/month for mobile and internet
Company-paid short-term disability, long-term disability, and life insurance coverage
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams