Senior Solutions Engineer Careers at Crusoe - Dublin, Ireland | Apply Now!
Crusoe
Senior Solutions Engineer Careers at Crusoe - Dublin, Ireland | Apply Now!
Job Description
Senior Solutions Engineer - Crusoe Cloud (Dublin, Ireland)
Role Overview
Crusoe Cloud is seeking a highly skilled and motivated Senior Solutions Engineer to join our team in Dublin, Ireland. In this role, you will be a key technical resource for our strategic enterprise customers, guiding them through the deployment and optimization of AI/ML workloads on Crusoe's high-performance GPU infrastructure. You will leverage your expertise in Kubernetes, MLOps, and cloud infrastructure to ensure customer success and contribute to the continuous improvement of our platform.
A Day in the Life
As a Senior Solutions Engineer, your day might involve:
- Leading technical onboarding sessions for new enterprise customers.
- Architecting and deploying ML workloads using Kubernetes-based stacks like Ray or Kubeflow.
- Optimizing container and hardware-level performance for AI/ML applications.
- Troubleshooting infrastructure issues in Linux environments via CLI.
- Conducting workshops and live demos to showcase Crusoe's solutions.
- Gathering customer feedback and relaying it to internal engineering and product teams.
- Collaborating with Sales to develop and deliver technical proposals.
- Contributing to case studies and blog posts highlighting customer successes.
- Staying up-to-date with the latest trends in AI/ML, Kubernetes, and cloud infrastructure.
Why Dublin, Ireland?
Dublin is a vibrant and thriving hub for technology and innovation, making it an ideal location for Crusoe's European operations. The city boasts a strong talent pool of skilled engineers and a supportive ecosystem for startups and established tech companies alike. Dublin's strategic location also provides easy access to customers and partners across Europe.
Career Path
This Senior Solutions Engineer role offers a clear path for career advancement within Crusoe Cloud. With demonstrated success and leadership, you can progress to positions such as Principal Solutions Engineer, Solutions Architect, or even management roles within the Engineering or Product teams. Crusoe is committed to providing opportunities for professional growth and development to its employees.
Salary & Benefits
The estimated salary range for this position is $120,000 - $180,000 USD per year, commensurate with experience and qualifications. Crusoe also offers a comprehensive benefits package, including:
- Competitive health insurance plans
- Paid time off and holidays
- Employee stock options
- Professional development budget
- Company-sponsored events and activities
Crusoe Culture
At Crusoe, we are driven by our mission to accelerate the abundance of energy and intelligence. We foster a culture of innovation, collaboration, and sustainability. We believe in empowering our employees to make a real impact and contribute to a better future. We value diversity, inclusivity, and a strong work ethic.
How to Apply
If you are passionate about AI infrastructure, fluent in containerized environments, and eager to join a dynamic team, we encourage you to apply! Please submit your resume and cover letter through our online application portal. We look forward to hearing from you.
FAQ
- What is Crusoe Cloud? Crusoe Cloud provides high-performance computing infrastructure optimized for AI/ML workloads, powered by stranded energy resources.
- What is MLOps? MLOps (Machine Learning Operations) is a set of practices that aims to automate and streamline the deployment and management of machine learning models in production.
- What is Kubernetes? Kubernetes is an open-source container orchestration system for automating application deployment, scaling, and management.
- What experience is required for this role? We are looking for candidates with 3-5 years of experience building and deploying containerized workloads with Kubernetes, MLOps deployment experience, and hands-on cloud infrastructure knowledge.
- What are the bonus points for this role? Experience with Ray, Kubeflow, multi-cloud deployment, or Slurm is considered a plus.
- What is the interview process like? The interview process typically involves a technical phone screen, a virtual interview with the hiring manager, and a final interview with the team.
- What are the working hours? We offer flexible working hours, but expect employees to be available during core business hours to collaborate with the team.
- What opportunities are there for professional development? Crusoe provides opportunities for professional development through training programs, conferences, and mentorship.
- What is Crusoe's commitment to sustainability? Crusoe is committed to using stranded energy resources to power its computing infrastructure, reducing carbon emissions and promoting environmental responsibility.
- What is the company culture like at Crusoe? Crusoe fosters a culture of innovation, collaboration, and sustainability, where employees are empowered to make a real impact.
Locations
- Dublin, Dublin, Ireland
Salary
132,000 - 198,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Kubernetesintermediate
- MLOpsintermediate
- Cloud Infrastructureintermediate
- AWSintermediate
- Azureintermediate
- GCPintermediate
- Helmintermediate
- Terraformintermediate
- Dockerintermediate
- Rayintermediate
- Kubeflowintermediate
- MLflowintermediate
- Airflowintermediate
- Linuxintermediate
- CLIintermediate
- Technical Storytellingintermediate
- Customer Enablementintermediate
- Cross-Cloud Translationintermediate
Required Qualifications
- Deep Kubernetes Expertise: 3-5 years building and deploying containerized workloads. (experience)
- Experience with Helm, Terraform, Docker, and multi-node orchestration. (experience)
- MLOps Deployment Experience: Demonstrated success deploying ML frameworks (e.g., Ray, MLflow, Airflow) on Kubernetes—especially for inference and model training workflows. (experience)
- Hands-on Cloud Infrastructure Knowledge: Familiarity with compute, storage, networking, and scaling in AWS, GCP, or Azure. (experience)
- Experience translating workloads across clouds is highly desirable. (experience)
- Customer-Facing Technical Confidence: Able to navigate stakeholder conversations, gather requirements, lead technical engagements, and support customers in both pre- and post-sales environments. (experience)
- Strong Linux and CLI Proficiency: Comfortable operating in Linux environments and troubleshooting infrastructure issues via CLI. (experience)
- Collaborative Energy: Strong communication skills and eagerness to partner cross-functionally with Engineering, Product, and Sales to make customers successful. (experience)
- Experience with Ray, Kubeflow, or other distributed ML orchestration platforms (Bonus) (experience)
- Exposure to Slurm, but with a primary focus on containerized MLOps over traditional HPC (Bonus) (experience)
- Multi-cloud deployment or migration experience (especially AWS ➝ Crusoe transitions) (Bonus) (experience)
Responsibilities
- 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: 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.
- Guide customers through end-to-end deployment of AI/ML workloads on Crusoe’s high-performance GPU infrastructure.
- Optimize workloads post-sale to ensure performance at the container and hardware level.
Benefits
- general: Be a part of the AI revolution with sustainable technology at Crusoe.
- general: Drive meaningful innovation and make a tangible impact.
- general: Join a team that’s setting the pace for responsible, transformative cloud infrastructure.
- general: Opportunity to work with cutting-edge AI/ML technologies.
- general: Collaborative and cross-functional work environment.
- general: Professional development and growth opportunities.
- general: Competitive compensation package.
- general: Comprehensive health benefits.
- general: Paid time off and holidays.
- general: Employee stock options.
- general: Company-sponsored events and activities.
- general: Commitment to sustainability and environmental responsibility.
Tags & Categories
Answer 10 quick questions to check your fit for Senior Solutions Engineer Careers at Crusoe - Dublin, Ireland | Apply Now! @ Crusoe.
Related Books and Jobs
Senior Solutions Engineer Careers at Crusoe - Dublin, Ireland | Apply Now!
Crusoe
Senior Solutions Engineer Careers at Crusoe - Dublin, Ireland | Apply Now!
Job Description
Senior Solutions Engineer - Crusoe Cloud (Dublin, Ireland)
Role Overview
Crusoe Cloud is seeking a highly skilled and motivated Senior Solutions Engineer to join our team in Dublin, Ireland. In this role, you will be a key technical resource for our strategic enterprise customers, guiding them through the deployment and optimization of AI/ML workloads on Crusoe's high-performance GPU infrastructure. You will leverage your expertise in Kubernetes, MLOps, and cloud infrastructure to ensure customer success and contribute to the continuous improvement of our platform.
A Day in the Life
As a Senior Solutions Engineer, your day might involve:
- Leading technical onboarding sessions for new enterprise customers.
- Architecting and deploying ML workloads using Kubernetes-based stacks like Ray or Kubeflow.
- Optimizing container and hardware-level performance for AI/ML applications.
- Troubleshooting infrastructure issues in Linux environments via CLI.
- Conducting workshops and live demos to showcase Crusoe's solutions.
- Gathering customer feedback and relaying it to internal engineering and product teams.
- Collaborating with Sales to develop and deliver technical proposals.
- Contributing to case studies and blog posts highlighting customer successes.
- Staying up-to-date with the latest trends in AI/ML, Kubernetes, and cloud infrastructure.
Why Dublin, Ireland?
Dublin is a vibrant and thriving hub for technology and innovation, making it an ideal location for Crusoe's European operations. The city boasts a strong talent pool of skilled engineers and a supportive ecosystem for startups and established tech companies alike. Dublin's strategic location also provides easy access to customers and partners across Europe.
Career Path
This Senior Solutions Engineer role offers a clear path for career advancement within Crusoe Cloud. With demonstrated success and leadership, you can progress to positions such as Principal Solutions Engineer, Solutions Architect, or even management roles within the Engineering or Product teams. Crusoe is committed to providing opportunities for professional growth and development to its employees.
Salary & Benefits
The estimated salary range for this position is $120,000 - $180,000 USD per year, commensurate with experience and qualifications. Crusoe also offers a comprehensive benefits package, including:
- Competitive health insurance plans
- Paid time off and holidays
- Employee stock options
- Professional development budget
- Company-sponsored events and activities
Crusoe Culture
At Crusoe, we are driven by our mission to accelerate the abundance of energy and intelligence. We foster a culture of innovation, collaboration, and sustainability. We believe in empowering our employees to make a real impact and contribute to a better future. We value diversity, inclusivity, and a strong work ethic.
How to Apply
If you are passionate about AI infrastructure, fluent in containerized environments, and eager to join a dynamic team, we encourage you to apply! Please submit your resume and cover letter through our online application portal. We look forward to hearing from you.
FAQ
- What is Crusoe Cloud? Crusoe Cloud provides high-performance computing infrastructure optimized for AI/ML workloads, powered by stranded energy resources.
- What is MLOps? MLOps (Machine Learning Operations) is a set of practices that aims to automate and streamline the deployment and management of machine learning models in production.
- What is Kubernetes? Kubernetes is an open-source container orchestration system for automating application deployment, scaling, and management.
- What experience is required for this role? We are looking for candidates with 3-5 years of experience building and deploying containerized workloads with Kubernetes, MLOps deployment experience, and hands-on cloud infrastructure knowledge.
- What are the bonus points for this role? Experience with Ray, Kubeflow, multi-cloud deployment, or Slurm is considered a plus.
- What is the interview process like? The interview process typically involves a technical phone screen, a virtual interview with the hiring manager, and a final interview with the team.
- What are the working hours? We offer flexible working hours, but expect employees to be available during core business hours to collaborate with the team.
- What opportunities are there for professional development? Crusoe provides opportunities for professional development through training programs, conferences, and mentorship.
- What is Crusoe's commitment to sustainability? Crusoe is committed to using stranded energy resources to power its computing infrastructure, reducing carbon emissions and promoting environmental responsibility.
- What is the company culture like at Crusoe? Crusoe fosters a culture of innovation, collaboration, and sustainability, where employees are empowered to make a real impact.
Locations
- Dublin, Dublin, Ireland
Salary
132,000 - 198,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Kubernetesintermediate
- MLOpsintermediate
- Cloud Infrastructureintermediate
- AWSintermediate
- Azureintermediate
- GCPintermediate
- Helmintermediate
- Terraformintermediate
- Dockerintermediate
- Rayintermediate
- Kubeflowintermediate
- MLflowintermediate
- Airflowintermediate
- Linuxintermediate
- CLIintermediate
- Technical Storytellingintermediate
- Customer Enablementintermediate
- Cross-Cloud Translationintermediate
Required Qualifications
- Deep Kubernetes Expertise: 3-5 years building and deploying containerized workloads. (experience)
- Experience with Helm, Terraform, Docker, and multi-node orchestration. (experience)
- MLOps Deployment Experience: Demonstrated success deploying ML frameworks (e.g., Ray, MLflow, Airflow) on Kubernetes—especially for inference and model training workflows. (experience)
- Hands-on Cloud Infrastructure Knowledge: Familiarity with compute, storage, networking, and scaling in AWS, GCP, or Azure. (experience)
- Experience translating workloads across clouds is highly desirable. (experience)
- Customer-Facing Technical Confidence: Able to navigate stakeholder conversations, gather requirements, lead technical engagements, and support customers in both pre- and post-sales environments. (experience)
- Strong Linux and CLI Proficiency: Comfortable operating in Linux environments and troubleshooting infrastructure issues via CLI. (experience)
- Collaborative Energy: Strong communication skills and eagerness to partner cross-functionally with Engineering, Product, and Sales to make customers successful. (experience)
- Experience with Ray, Kubeflow, or other distributed ML orchestration platforms (Bonus) (experience)
- Exposure to Slurm, but with a primary focus on containerized MLOps over traditional HPC (Bonus) (experience)
- Multi-cloud deployment or migration experience (especially AWS ➝ Crusoe transitions) (Bonus) (experience)
Responsibilities
- 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: 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.
- Guide customers through end-to-end deployment of AI/ML workloads on Crusoe’s high-performance GPU infrastructure.
- Optimize workloads post-sale to ensure performance at the container and hardware level.
Benefits
- general: Be a part of the AI revolution with sustainable technology at Crusoe.
- general: Drive meaningful innovation and make a tangible impact.
- general: Join a team that’s setting the pace for responsible, transformative cloud infrastructure.
- general: Opportunity to work with cutting-edge AI/ML technologies.
- general: Collaborative and cross-functional work environment.
- general: Professional development and growth opportunities.
- general: Competitive compensation package.
- general: Comprehensive health benefits.
- general: Paid time off and holidays.
- general: Employee stock options.
- general: Company-sponsored events and activities.
- general: Commitment to sustainability and environmental responsibility.
Tags & Categories
Answer 10 quick questions to check your fit for Senior Solutions Engineer Careers at Crusoe - Dublin, Ireland | Apply Now! @ Crusoe.
Related Books and Jobs