Senior AI Infrastructure Solutions Engineer (Kubernetes/MLOps)

Crusoe; Dublin; On-site; EUR 80,000 - 120,000; Full time

Benefits offered by this job

Pension contributions

Private health and dental insurance

Income protection

Life assurance

Job summary

Crusoe in Dublin is seeking a Senior+ Solutions Engineer to engage with strategic enterprise customers deploying AI/ML on high-performance GPU infrastructure. This hands-on role demands expertise in Kubernetes and MLOps.

Ideal candidates will lead deployments, optimize workloads, and ensure seamless technical interactions. The position offers a competitive benefits package and opportunities for career growth within a unique energy-driven company.

Qualifications

• 3-5 years building and deploying containerized workloads.
• Demonstrated success deploying ML frameworks on Kubernetes.
• Familiarity with compute, storage, networking in cloud platforms.
• Strong communication skills and eagerness to partner cross-functionally.

Responsibilities

• Lead technical onboarding and deployment of AI/ML workloads.
• Architect and deploy ML workloads using Kubernetes-based stacks.
• Deploy and optimize AI/ML workloads directly on infrastructure.
• Help customers migrate workloads across AWS, Azure, and GCP.
• Conduct workshops and solution reviews.

Skills

Kubernetes Expertise

MLOps Deployment Experience

Cloud Infrastructure Knowledge

Customer-Facing Technical Confidence

Strong Linux and CLI Proficiency

Collaborative Energy

Tools

Helm

Terraform

Docker

Ray

Kubeflow

Job description

Crusoe in Dublin is seeking a Senior+ Solutions Engineer to engage with strategic enterprise customers deploying AI/ML on high-performance GPU infrastructure. This hands-on role demands expertise in Kubernetes and MLOps.

Ideal candidates will lead deployments, optimize workloads, and ensure seamless technical interactions. The position offers a competitive benefits package and opportunities for career growth within a unique energy-driven company.