Crusoe
AI infrastructure
SeniorStaffSolutionsEngineer
“Senior Staff Solutions Engineer at Crusoe. Skills: Kubernetes, MLOps, Cloud infrastructure, Customer-facing. Lead technical onboarding. Deploy complex AI/ML workloads”
What You'll Achieve.
Accelerate abundance of energy and intelligence; Power world's most ambitious AI workloads; Advance customer AI strategies; Make customers successful
Industry & Context.
Problem-solving
What They're Looking For.
Must Have
7+ years building and deploying containerized workloads, Experience with Helm, Experience with Terraform, Experience with Docker, Multi-node orchestration, Deploying ML frameworks on Kubernetes, Familiarity with compute, Familiarity with storage, Familiarity with networking, Familiarity with scaling in AWS, Familiarity with scaling in GCP, Familiarity with scaling in Azure, Customer-facing technical confidence, Linux proficiency, CLI proficiency
Nice to Have
Experience with Ray, Experience with Kubeflow, Experience with distributed ML orchestration platforms, Exposure to Slurm, Multi-cloud deployment experience, Multi-cloud migration experience, AWS ➝ Crusoe transitions, Content contributions, Tech talks, Blogs, Public case studies
What You'll Do.
Lead technical onboarding
Deploy complex AI/ML workloads
Optimize workloads post-sale
Architect ML workloads
Design infrastructure
Deploy AI/ML workloads
Optimize AI/ML workloads
Translate workloads across clouds
Conduct solution reviews
Contribute to case studies
Contribute to solution briefs
Contribute to blog posts
Relay feedback to engineering
Relay feedback to product teams
How You'll Work.
Team & Collaboration
Partner cross-functionally with Engineering; Partner cross-functionally with Product; Partner cross-functionally with Sales
Communication Scope
Communication skills
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