Senior Cloud Run Architect — AI Platform & Scale

Socket.dev

Sunnyvale (CA)

On-site

USD 262,000 - 364,000

Full time

5 days ago
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Job summary

Google is seeking a software engineer to drive backend services for Cloud Run, focusing on the data plane to support AI workloads and agents. You will lead architecture decisions and collaborate with senior leadership to modernize the stack and ensure platform sustainability.

The role emphasizes building scalable systems, influencing large engineering teams, and delivering high-impact solutions in a fast-paced environment with a strong focus on reliability and security.

Qualifications

  • Bachelor's degree or equivalent practical experience required.
  • 8 years of experience programming in C++.
  • 5 years of experience with design and architecture; and testing/launching software products.
  • 5 years of experience with serverless computing concepts and technologies on public cloud platforms (e.g., Google Cloud Run, Cloud Functions, App Engine, Kubernetes).

Responsibilities

  • Provide technical leadership on high-impact projects.
  • Influence and coach a distributed team of engineers.
  • Oversee architectural strategy and the rollout of core back-end services for Cloud Run, primarily emphasizing the data plane to support the evolving needs of AI workloads and agents.
  • Collaborate with executive product and engineering leadership to define and realize a long-term goal for stack modernization and platform sustainability.
  • Drive operational excellence by identifying and executing systematic enhancements to platform health.

Skills

C++
Design & Architecture
Serverless cloud

Education

Bachelor's degree or equivalent

Tools

Kubernetes
Cloud Run

Job description

Google is seeking a software engineer to drive backend services for Cloud Run, focusing on the data plane to support AI workloads and agents. You will lead architecture decisions and collaborate with senior leadership to modernize the stack and ensure platform sustainability.

The role emphasizes building scalable systems, influencing large engineering teams, and delivering high-impact solutions in a fast-paced environment with a strong focus on reliability and security.

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