Solutions Architect (opens in a new tab) Customer Experience Singapore

Nebius Group; Singapore; A distancia; SGD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative and innovative culture

Impactful AI projects

International environment

Descripción de la vacante

Nebius is seeking a Cloud Solutions Architect to design and implement cutting-edge cloud infrastructure and MLOps solutions for clients. The role focuses on advising across GPU cloud technologies, IaC, and scalable pipelines, with a strong emphasis on collaboration and technical leadership.

Remote work from Singapore is supported. You will engage with clients, lead PoCs, and help optimize performance of AI pipelines while collaborating with support and marketing teams.

Formación

• 5+ years in cloud solutions architecture or similar technical role focused on cloud computing.
• Hands-on experience with IaC and configuration management tools (Terraform/Ansible), Kubernetes, and Python.
• Solid understanding of GPU computing for ML training/inference and CUDA/OpenCLStacks.
• Excellent communication skills.
• Customer-centric mindset.

Responsabilidades

• Act as a trusted advisor to clients, conducting PoC, workshops, presentations, and training on GPU cloud technologies and best practices.
• Collaborate with clients to translate business requirements into solution architecture and IaC, documentation, and technical how-tos with support engineers/writers.
• Help customers optimize pipeline performance and scalability, ensuring efficient use of Nebius cloud resources.
• Serve as the single point of expertise for customer scenarios across product, tech support, and marketing.
• Support Marketing efforts during events (Hackathons, conferences, workshops, webinars).

Conocimientos

Cloud architecture

Communication

Customer focus

Herramientas

Terraform

Ansible

Kubernetes

Python

Descripción del empleo

About Nebius:

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.

The role

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.

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 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.)

We expect you to have:

• 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) #LI-DNI

Benefits & Perks:

• 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

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

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

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.

If you need accommodations during the application process, please let us know.