Cloud Solutions Architect

Sorry, this job was removed at 08:15 p.m. (CST) on Tuesday, Jul 08, 2025
Singapore
In-Office
Artificial Intelligence • Information Technology • Consulting
The Role

Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

The Team

Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We seek a highly skilled and customer-focused professional to join our team as a Cloud Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will be pivotal 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.

You’re welcome to work remotely from Singapore. 

Your responsibilities will include: 

  • Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct pilot projects, 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 aligns 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 optimize pipeline performance and scalability to utilize cloud resources and services powered by Nebius efficiently.
  • Act as a single point of expertise for customer scenarios for product, technical support and marketing teams.
  • Assist hackathons, conferences, workshops and webinars.

We expect you to have: 

  • 5-10+ 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 and skills in 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.
  • Proficiency in English and Mandarin is essential for effective communication with various internal and external stakeholders whose primary business language is Mandarin and English.

What we offer 

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth within Nebius.
  • Hybrid working arrangements.
  • A dynamic and collaborative work environment that values initiative and innovation.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

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