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Cloud Solutions Architect

  1. Netherlands, Amsterdam
Amsterdam
  1. Permanent
Competitive
  1. Data Centres
37695

This vacancy has now expired

Cloud Solutions Architect - Amsterdam - Permanent Contract

QCS staffing are partnered with one of the world’s top AI infrastructure companies. As an organisation, our client are leading a new era in cloud computing to serve the global AI economy. They create the tools and resources for their customers requirement to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams.

To support our client’s continued growth, they are currently looking to hire a Cloud Solutions Architect with the option to work remotely or in Amsterdam.

Responsibilities:
  • 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 optimise pipeline performance and scalability to ensure efficient utilisation of cloud resources and services.
  • 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:
  • Requires extensive 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
If this role is of interest to you, please apply now!

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