高级云基础设施架构师 - 阿什本

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。

Join a team building the backbone of global AI infrastructure.

Our Cloud Supply Chain team delivers end-to-end solutions that power the company's global business, combining compliance, cost efficiency, and quality at scale.

we're at the forefront of AI infrastructure strategy, ensuring the computing power behind the company's AI ambitions never becomes a bottleneck.

As we look ahead, we're doubling down on AI Server cost optimization and driving smarter, leaner operations through full-chain cost governance and refined business practices.

We're also investing heavily in process automation, freeing our people from repetitive work so they can focus on the high-value problems that actually move the needle.

If you want to work where supply chain strategy directly shapes the future of AI, this is the team building it.

- 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

- 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.;

- 3+ years of working in Cloud Service and AI Infrastructure.

- Possess the ability to systematically solve problems, good communication skills, and a sense of ownership, as well as teamwork and communication capabilities;

- Familiarity with Cloud Service, AI infrastructure, Container Technology, and microservice architecture, with corresponding practical experience preferred;

- Familiar with the underlying knowledge and experience of mainstream product design principles and implementation architectures from different cloud computing vendors is preferred.