Senior Solutions Engineer: AI Infra, Kubernetes & MLOps

Fdetimes; Denver (CO); Presencial; USD 175.000 - 250.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Equity packages

Paid time off

Health, dental & vision insurance

HSA contributions

Parental leave

Life insurance & disability

Tuition reimbursement

401(k) with match

Descripción de la vacante

Crusoe Cloud is seeking a Sr. to Senior Staff level Solutions Engineer to work with strategic enterprise customers deploying AI/ML workloads on Crusoe’s high-performance GPU infrastructure.

This hands-on, customer-facing role requires deep technical expertise in Kubernetes, MLOps, and cloud infrastructure. You’ll guide customers end-to-end through PoC, post-sale optimization, and serve as a critical technical voice between customers and engineering.

Formación

• 7+ years building and deploying containerized workloads.
• Experience with Helm, Terraform, Docker, and multi-node orchestration.
• Cloud infrastructure knowledge across AWS, GCP, or Azure.
• Customer-facing technical confidence: engage with stakeholders and guide engagements.
• Strong Linux and CLI proficiency for troubleshooting and ops.
• Collaborative energy: work with Engineering, Product, and Sales to enable customers.

Responsabilidades

• 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) and design infrastructure balancing performance, scalability, and efficiency.
• Deploy and optimize AI/ML workloads directly on Crusoe infrastructure, ensuring performance at container and hardware levels.
• Help customers migrate workloads across AWS, Azure, and GCP and explain cloud-native vs Crusoe-native tradeoffs.
• Conduct workshops, live demos, and solution reviews; contribute to case studies and blogs showcasing customer success.
• Relay customer feedback to engineering and product teams to improve Crusoe’s platform based on real-world implementations.

Conocimientos

Kubernetes expert

MLOps

Cloud infrastructure

Linux CLI

Customer-facing

Cross-functional

Herramientas

Helm

Terraform

Docker

Ray

Kubeflow

Descripción del empleo

Crusoe Cloud is seeking a Sr. to Senior Staff level Solutions Engineer to work with strategic enterprise customers deploying AI/ML workloads on Crusoe’s high-performance GPU infrastructure.

This hands-on, customer-facing role requires deep technical expertise in Kubernetes, MLOps, and cloud infrastructure. You’ll guide customers end-to-end through PoC, post-sale optimization, and serve as a critical technical voice between customers and engineering.