Staff Full-Stack Engineer: AI-Driven Cloud Architect

Google

Sunnyvale (CA)

On-site

USD 207,000 - 300,000

Full time

14 days+
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Job summary

Google Sunnyvale is seeking a Staff Software Engineer, Full Stack to lead cross-team efforts across Agent Registry and App Hub. You will own outcomes, influence stakeholders, and solve complex problems while contributing to both backend and frontend developments using Java, Python, Golang, JavaScript/TypeScript, HTML/CSS, and cloud-native architectures.

Candidates should have extensive experience with Google Cloud Platform, large-scale design, and integrating generative AI tools into workflows.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of software development experience.
  • 5 years of full stack development across backend and frontend.
  • 3 years of Google Cloud Platform experience.
  • 3 years of large-scale software design/architecture.
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

  • Provide technical leadership on high-impact projects.
  • Influence and coach a distributed team of engineers.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
  • Manage project priorities, deadlines, and deliverables.
  • Design, develop, test, deploy, maintain, and enhance large scale software solutions.

Skills

Full stack development
Backend development
Frontend development
Google Cloud Platform
Large-scale software design
Generative AI / LLM integration
Decision making / ownership

Education

Bachelor's degree or equivalent practical experience
Master's or PhD (preferred)

Job description

Google Sunnyvale is seeking a Staff Software Engineer, Full Stack to lead cross-team efforts across Agent Registry and App Hub. You will own outcomes, influence stakeholders, and solve complex problems while contributing to both backend and frontend developments using Java, Python, Golang, JavaScript/TypeScript, HTML/CSS, and cloud-native architectures.

Candidates should have extensive experience with Google Cloud Platform, large-scale design, and integrating generative AI tools into workflows.

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