Apple's large-scale serverless platform needs to ensure compute resources are optimally distributed throughout the company by developing demand and capacity planning systems, driving innovation in forecasting, optimization and supply chain management tooling that work at scale, and distilling complex data into easy-to-interpret and low-latency visualizations that guide strategies.
Requirements
- Experience working with modern web frameworks like React
- Comfortable with RESTful APIs and storage technologies e.g. S3, Trino, PostgreSQL, Elasticsearch
- Must have strong CS fundamentals
- Experience developing machine learning models
Responsibilities
- build systems that ensure compute resources are optimally distributed throughout the company
- developing demand and capacity planning system
- driving innovation in forecasting, optimization and supply chain management tooling that work at scale
- distilling complex data into easy-to-interpret and low-latency visualizations that guide strategies
- learn and build services that scale, stay highly available and "just work"
Other
- 5+ years of experience with Bachelor’s degree or higher in Engineering, Mathematics, Economics or a related quantitative field
- Excellent problem-framing and problem-solving skills
- Familiarity with Enterprise Resource Planning (ERP) systems
- engaging cross-functionally with finance analysts, supply chain managers, data center operations, compute infra engineers and more
- works in an iterative and fast-paced environment
- passionate about learning new technologies and knowledge sharing