Senior+ Solutions Engineer

Crusoe Energy Systems LLC; Dublin; On-site; EUR 110,000 - 165,000; Full time

Benefits offered by this job

Competitive benefits package

Pension contributions

Private health insurance

Job summary

A leading technology infrastructure company is looking for a Senior Solutions Engineer to help enterprise customers deploy AI/ML workloads. The position involves guiding customers through deployments, optimizing workloads, and leveraging Kubernetes and MLOps expertise. Ideal candidates are experienced in cloud environments and possess strong communication skills. A competitive benefits package and compensation will be provided.

Qualifications

• 3-5 years of experience building and deploying containerized workloads.
• Success deploying ML frameworks on Kubernetes.
• Familiarity with compute, storage, networking in cloud platforms.

Responsibilities

• Lead technical onboarding and deployment of AI/ML workloads.
• Architect and deploy ML workloads using Kubernetes.
• Conduct workshops and live demos for customers.
• Translate workloads across AWS, Azure, and GCP and discuss tradeoffs between cloud-native and Crusoe-native approaches.
• Conduct workshops, live demos, and solution reviews; contribute to case studies and blogs.
• Relay customer feedback to engineering/product teams to improve Crusoe’s platform.

Skills

Kubernetes expertise

MLOps deployment experience

Cloud infrastructure knowledge

Customer-facing technical confidence

Linux and CLI proficiency

Collaborative energy

Terraform

Tools

Helm

Terraform

Docker

Job description

About This Role:

Crusoe Cloud is seeking a Senior+ Solutions Engineer to work closely with our most strategic enterprise customers deploying AI/ML workloads on Crusoe’s high-performance GPU infrastructure. This is a hands-on, customer-facing role requiring deep technical expertise in Kubernetes, MLOps, and cloud infrastructure.

You’ll guide customers through end-to-end deployment—owning the PoC process, optimizing workloads post-sale, and serving as a critical technical voice between our customers and engineering teams. Ideal candidates are passionate about AI infrastructure, fluent in containerized environments, and confident translating workloads across cloud platforms.

What You'll Be Working On:

• Customer Enablement: Lead technical onboarding and deployment of complex AI/ML workloads with strategic enterprise customers—owning the PoC through to post-sales optimization.
• Kubernetes + MLOps Focus: Architect and deploy ML workloads using Kubernetes-based stacks (e.g., Ray, Kubeflow) Design infrastructure that balances performance, scalability, and efficiency.
• Infrastructure-Centric Thinking: Go beyond abstracted services—deploy and optimize AI/ML workloads directly on Crusoe infrastructure. Ensure performance at the container and hardware level.
• Cross-Cloud Translation: Help customers migrate and adapt workloads across AWS, Azure, and GCP. Understand and explain the tradeoffs between cloud-native and Crusoe-native approaches.
• Technical Storytelling: Conduct workshops, live demos, and solution reviews. Contribute to case studies, solution briefs, and blog posts that highlight real-world customer success.
• Voice of the Customer: Relay feedback to internal engineering and product teams to continuously improve Crusoe’s platform based on real-world implementation experience.

What You'll Bring to the Team:

• Deep Kubernetes Expertise: 3-5 years building and deploying containerized workloads. Experience with Helm, Terraform, Docker, and multi-node orchestration a must.
• 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. Experience translating workloads across clouds is highly desirable.
• Customer-Facing Technical Confidence: 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: Comfortable operating in Linux environments and troubleshooting infrastructure issues via CLI.
• Collaborative Energy: Strong communication skills and eagerness to partner cross-functionally with Engineering, Product, and Sales to make customers successful.

Bonus Points:

• Experience with Ray, Kubeflow, or other distributed ML orchestration platforms
• Exposure to Slurm, but with a primary focus on containerized MLOps over traditional HPC
• Multi-cloud deployment or migration experience (especially AWS → Crusoe transitions)
• Content contributions (tech talks, blogs, public case studies)
• Must be able to pass a background check
• Embody the Company values

Benefits:

Crusoe offers a competitive benefits package designed to support financial security, health, and overall well-being, including pension contributions, private health and dental insurance, income protection, life assurance and more.

Compensation:

Compensation will be paid as salary or hourly. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.