Related skills
aws python kubernetes slurm ray.io📋 Description
- Design cost-optimization strategies for distributed compute infra
- Build cost visibility, attribution, and chargeback systems
- Optimize job scheduling and auto-scaling for utilization
- Design multi-region orchestration for data locality and cost
- Identify inefficiencies via profiling and cross-team collaboration
- Develop cost forecasting models for capacity planning
🎯 Requirements
- Experience optimizing large-scale distributed systems for cost/efficiency
- Experience with Ray.io, including Ray Core and Ray Data
- Experience with Kubernetes for heterogeneous workloads and cost optimization
- Experience with cloud cost management on AWS (Cost Explorer)
- Track record of measurable cost reductions in production infrastructure
- Proficiency with Python
🎁 Benefits
- Base salary USD 219,000–263,000 per year
- Amazon RSUs and Zoox stock appreciation rights
- Sign-on bonus may be offered
- Health, long-term care, disability, and life insurance
- Paid time off, vacation, sick leave
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