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Senior Staff Software Engineer, Serverless AI

Google is a global technology company that provides a wide range of internet-related services and products.
$248,000 - $349,000
Cloud
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS

Job Description

Google Cloud Platform (GCP) is seeking a Senior Staff Software Engineer to lead their Cloud Native Runtimes team in revolutionizing serverless computing and AI infrastructure. This role combines advanced distributed systems engineering with cutting-edge AI technology, focusing on building next-generation infrastructure for Agentic AI and serverless computing.

The position requires deep expertise in cloud computing, distributed systems, and AI/ML infrastructure, with the responsibility to shape the technical direction of Google's serverless offerings. The successful candidate will work at the intersection of cloud computing and artificial intelligence, designing solutions that power the future of cloud-native applications and AI workloads.

This is a leadership role that involves collaboration with product management, engineering teams, and external customers to define and implement technical strategies for AI and ML workloads on Cloud Run. The role offers the opportunity to influence architectural decisions and drive innovation in cloud computing, particularly in the rapidly evolving field of Generative AI.

The compensation package is highly competitive, ranging from $248,000 to $349,000 base salary, plus bonus, equity, and comprehensive benefits. The position offers the chance to work with cutting-edge technology while leading and mentoring teams in building scalable, reliable, and efficient cloud infrastructure.

Key responsibilities include architecting solutions for first-party and third-party platform providers, ensuring system reliability and performance, and driving technical innovation in the serverless compute space. The role requires both technical excellence and leadership skills, as you'll be guiding teams and setting technical direction for critical infrastructure components.

The position is based in either Sunnyvale or San Francisco, CA, offering the opportunity to work from Google's world-class facilities while collaborating with some of the industry's brightest minds in cloud computing and AI technology.

Last updated 3 days ago

Responsibilities For Senior Staff Software Engineer, Serverless AI

  • Collaborate with product management, engineering leads, and external customers in defining technical strategy for AI and ML workloads
  • Collaborate with technical partners across Google to deliver key innovations in the serverless compute space
  • Guide architecture and integration strategies for first-party and third-party platform providers
  • Provide technical leadership and mentorship to serverless team members
  • Scale, improve, and operate backend distributed systems

Requirements For Senior Staff Software Engineer, Serverless AI

Kubernetes
  • Bachelor's degree or equivalent practical experience
  • 8 years of experience in software development
  • 7 years of experience building and developing large-scale infrastructure, distributed systems or networks
  • 5 years of experience in a technical leadership role leading project teams and setting technical direction
  • 5 years of experience building infrastructure for AI/ML workloads

Benefits For Senior Staff Software Engineer, Serverless AI

Equity
Medical Insurance
  • Equity
  • Medical Insurance
  • Bonus

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