Solutions Architect United Kingdom

Nebius
London, UK
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Nvidia CUDA General-Purpose Computing on Graphics Processing Units Python (Programming Language) Machine Learning OpenCL Cloud Services Ansible Tensorflow
+8 more
Pytorch Deep Learning Kubernetes Infrastructure Automation Frameworks Slurm Machine Learning Operations Software Coding Terraform

Job description

We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines., * 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

Do you have experience in Terraform?, * 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

It will be an added bonus if you have:

  • Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
  • Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
  • Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google), Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

Benefits & conditions

  • 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

What’s it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

About the company

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

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