Solutions Architect

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Serve as a trusted consultant for our clients, offering technical knowledge and direction throughout their engagement. Facilitate PoC, workshops, presentations, and training sessions to inform clients about GPU cloud technologies and best practices.

• Work closely with clients to comprehend their business needs and create solution architectures that meet those requirements: design and document Infrastructure as Code solutions, as well as documentation and technical guides in partnership with support engineers and technical writers.

• Assist customers in optimizing pipeline performance and scalability to guarantee efficient utilization of cloud resources and services powered by Nebius AI.

• Function as the primary source of expertise regarding customer scenarios for product, technical support, and marketing teams.

• Support the Marketing department's initiatives during events such as Hackathons, conferences, workshops, webinars, and more.

⛳️ Requirements

• Over 5 years of experience in roles such as cloud solutions architect, system/network engineer, developer, or similar technical positions focused on cloud computing.

• Strong practical experience with Infrastructure as Code and configuration management tools (preferably Terraform/Ansible), Kubernetes, and proficiency in coding with Python.

• Comprehensive understanding of GPU computing practices for machine learning training and inference workloads, as well as GPU software stack components, including drivers and libraries (e.g., CUDA, OpenCL).

• Exceptional communication skills.

• A customer-centric approach.

• Practical experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow) is a plus.

• Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus.

• Strong understanding of the cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) is a plus.

🏝️ Benefits

• Competitive salary.

• Opportunities for career advancement and professional development.

• Flexibility and work-life balance.

• A collaborative and innovative work culture.

• The chance to engage in meaningful AI projects.

• An international environment surrounded by skilled teams.