The cloud team is the core component of the ByteDance supply chain system, which aims to provide the company's global business with compliant, inexpensive, high-quality and efficient cloud supply chain end-to-end solutions. Its core mission includes global business support, compliance and controllability, low cost and high efficiency, and high-quality and reliable。
As a Cloud Infrastructure Analyst, you will focusing on AI Server for cost optimization and process automation and deepening the guarantee capability of AI computing power resources to ensure the supply of computing resources required for the development of the company's AI business.
Job Duties:
- Collaborate with business operations, forecast future load and resource requirements, analyze historical and existing business behaviors and data trends, and make corresponding resource planning and adjustments to build medium- and long-term resource planning and architecture layout
- Promote the maturity and improvement of platform modules, address resource layout, fulfillment, and management issues through automation and engineering means, and formulate resource capacity and management rules
- Promote internal and external manufacturers to establish architecture evolution plans, and formulate medium- and long-term NPI introduction & architecture replacement mechanisms
- Conduct a special resource architecture review for top businesses in terms of resource inventory
- Starting from the goal of achieving business development
- Understand the dependencies of business resource architecture
- Understand the prioritization of core business concerns (resources, availability, cost)
- Helps businesses stay informed about potential opportunities for architecture optimization in real-time
Requirements
Minimum Qualifications:
- Bachelor's degree or above, majoring in computer-related fields, familiar with information and communication technology as well as computer architecture, such as operating systems, networks, databases, etc.
- Possess the ability to systematically solve problems, good communication skills, and a sense of ownership, as well as teamwork and communication capabilities
Preferred Qualifications:
- Hands-on experience with AI infrastructure, cloud-native practices, and multi-cloud architectures
- Familiarity with Cloud Service, AI infrastructure, Container Technology, and microservice architecture, with corresponding practical experience preferred.