Solutions Architect

1 week ago

Dublin, Dublin City, Ireland beBeeCloud Full time €134,004 - €164,202
About the Role

Be part of a cutting-edge technology revolution with sustainable innovations at the forefront. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure.

You will be working closely with strategic enterprise customers to lead technical onboarding and deployment of complex AI/ML workloads—owning the proof of concept through to post-sales optimization.

Key responsibilities include architecting and deploying ML workloads using Kubernetes-based stacks (e.g., Ray, Kubeflow), designing infrastructure that balances performance, scalability, and efficiency, and ensuring performance at the container and hardware level.

  • Lead technical onboarding and deployment of complex AI/ML workloads with strategic enterprise customers—owning the PoC through to post-sales optimization.
  • Architect and deploy ML workloads using Kubernetes-based stacks (e.g., Ray, Kubeflow) Design infrastructure that balances performance, scalability, and efficiency.
  • Go beyond abstracted services—deploy and optimize AI/ML workloads directly on Crusoe infrastructure.
  • Help customers migrate and adapt workloads across AWS, Azure, and GCP.
Requirements:
  • Deep Kubernetes Expertise: 3-5 years building and deploying containerized workloads. Experience with Helm, Terraform, Docker, and multi-node orchestration is required.
  • MLOps Deployment Experience: Demonstrated success deploying ML frameworks (e.g., Ray, MLflow, Airflow) on Kubernetes—especially for inference and model training workflows.
  • Hands-on Cloud Infrastructure Knowledge:Familiarity with compute, storage, networking, and scaling in AWS, GCP, or Azure is essential.
  • Candidate should be able to navigate stakeholder conversations, gather requirements, lead technical engagements, and support customers in both pre- and post-sales environments.
  • Strong Linux and CLI Proficiency:Ability to operate in Linux environments and troubleshoot infrastructure issues via CLI is necessary.

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