AI Infrastructure Solutions Engineer - Kubernetes & MLOps

Crusoe; Dublin; On-site; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Pension contributions

Private health insurance

Life assurance

Job summary

Crusoe is seeking a Solutions Engineer in Dublin, Ireland, to lead the deployment of AI/ML workloads on their high-performance GPU infrastructure. This hands-on role requires expertise in Kubernetes and MLOps, working directly with enterprise customers.

The successful candidate will guide the full deployment lifecycle, from proof of concept through optimization, while ensuring effective communication with internal teams. Crusoe values collaborative energy and technical confidence across its teams.

Qualifications

• 3-5 years experience building and deploying containerized workloads.
• Hands-on experience with ML frameworks on Kubernetes.
• Comfortable operating in Linux environments.

Responsibilities

• Lead technical onboarding and deployment of complex AI/ML workloads.
• Architect and deploy ML workloads using Kubernetes-based stacks.
• Help customers migrate workloads across AWS, Azure, and GCP.

Skills

Kubernetes Expertise

MLOps Deployment Experience

Cloud Infrastructure Knowledge

Technical Confidence

Linux Proficiency

Collaborative Energy

Tools

Helm

Terraform

Docker

Job description

Crusoe is seeking a Solutions Engineer in Dublin, Ireland, to lead the deployment of AI/ML workloads on their high-performance GPU infrastructure. This hands-on role requires expertise in Kubernetes and MLOps, working directly with enterprise customers.

The successful candidate will guide the full deployment lifecycle, from proof of concept through optimization, while ensuring effective communication with internal teams. Crusoe values collaborative energy and technical confidence across its teams.