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.