Solutions Architect

Nebius Group

Solutions Architect specializing in Cloud infrastructure and MLOps, designing solutions for AI projects. Trusted advisor to clients, optimizing their cloud technologies and pipelines throughout the engagement.

Posted 6/2/2026full-timeRemote • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AnsibleAWSAzureCloudKubernetesPythonPyTorchTensorflowTerraform

About the role

Key responsibilities & impact

Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

Requirements

What you’ll need

5+ years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
Excellent communication skills
Customer-centric mindset
Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow) (added bonus)
Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch) (added bonus)
Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) (added bonus)

Benefits

Comp & perks

Competitive compensation
Career growth and learning opportunities
Flexibility and work-life balance
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams

ATS Keywords

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Hard Skills & Tools

cloud solutions architectsystem engineernetwork engineercloud computingInfrastructure as CodeTerraformAnsibleKubernetesPythonGPU computing

Soft Skills

communication skillscustomer-centric mindset