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Salary
≈ $32k – $78k per year (Estimated)
Location
In office (Beijing)
Seniority
Architect · 10+ years exp

Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 7, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Google Cloud Platform (GCP) Customer Solution Architect, you will drive initial and ongoing business ramp for the customers, clearing blockers and ensuring they get the maximum benefit from their investment faster. You will manage and execute the deployment plan, transitioning scoped workloads into production by providing technical leadership to customers and partners. You will have a direct impact on the velocity and incremental consumption of customer workloads, leading to accelerated value realization, higher adoption, and future expansion opportunities. You will blend sales expertise, market knowledge, direct technical engagement, and technical project management to prove the value of the Google Cloud portfolio.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • Develop and orchestrate a structured, end-to-end deployment plan across customer and partner teams, onboarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness (e.g., capacity, training).
  • Employ skills such as coding, debugging, or systems design to resolve technical blockers and accelerate deployment.
  • Drive and track progress of the initial and ongoing ramp of workloads, moving customers from agreement to consumption as quickly as possible.
  • Identify expansion opportunities for new workloads within the account during project execution.
  • Drive sustainable product usage to help customers realize value on an ongoing basis and secure future contract renewals.

Qualifications

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience with cloud native architecture in a customer-facing or support role.
  • Experience in deployment planning, orchestration, or change management.
  • Experience in programming languages, debugging, or systems design.
  • Experience engaging with, presenting to, or collaborating with technical stakeholders or executive leaders.

Preferred qualifications:

  • Experience with Google Cloud products and differentiating from participants.
  • Experience working with product and capacity teams to resolve technical and capacity blockers.
  • Experience with High Performance Computing (HPC) environments and contributions to open-source projects related to infrastructure.
  • Experience with performance profiling tools.
  • Experience in designing, and architecting large-scale infrastructure farms.
  • Experience with model adaptation, migration and optimization on Graphics Processing Unit (GPU) or Tensor Processing Unit (TPU).
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