Remote Cloud & MLOps Solutions Architect

AI Chopping Block

Singapore

On-site

SGD 110,000 - 180,000

Full time

10 days ago

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Benefits offered by this job

Competitive compensation
Career growth
Flexibility and ownership
Collaborative culture
International teams

Job summary

Nebius is hiring a Cloud Solutions Architect to design and implement cutting-edge cloud infrastructure and MLOps solutions for clients. You will advise customers, run PoCs and workshops, and help document robust infrastructure-as-code workflows leveraging Kubernetes and GPU-enabled pipelines.

Based in Singapore with remote options, the role emphasizes collaboration across product, support, and marketing teams to deliver scalable AI solutions and drive customer success.

Qualifications

  • 5+ years of experience in cloud solutions architecture or similar technical roles.
  • Hands-on IaC and configuration management (Terraform/Ansible).
  • Kubernetes expertise and GPU computing knowledge.
  • Strong communication and customer-focused mindset.

Responsibilities

  • Act as trusted advisor to clients; conduct PoC, workshops, presentations, and training on GPU cloud technologies.
  • Design and documentInfrastructure as code solutions; collaborate with support engineers and technical writers.
  • Optimize pipeline performance and scalability for Nebius AI cloud services.
  • Serve as a single point of expertise for customer scenarios across product, support, and marketing teams.
  • Assist Marketing during events (hackathons, conferences, webinars).

Skills

Cloud architecture
Kubernetes
Python
Communication
Customer advisory

Tools

Terraform
Ansible
Kubeflow

Job description

Nebius is hiring a Cloud Solutions Architect to design and implement cutting-edge cloud infrastructure and MLOps solutions for clients. You will advise customers, run PoCs and workshops, and help document robust infrastructure-as-code workflows leveraging Kubernetes and GPU-enabled pipelines.

Based in Singapore with remote options, the role emphasizes collaboration across product, support, and marketing teams to deliver scalable AI solutions and drive customer success.

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