Google

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY, USA; San Francisco, CA, USA; Waterloo, ON, Canada.

Minimum qualifications:

• 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, or experience with compute technologies, storage, or hardware architecture.
• 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.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience in cloud-native software and orchestration stacks, such as serverless architectures, Kubernetes, etc.
• 2 years of experience building infrastructure for Agentic AI.

About the Job

Are you ready to shape the future of cloud computing? Google Cloud Platform (GCP) is leading the charge in serverless innovation, and our Cloud Native Runtimes team is looking for a Senior Staff Developer to join us. We're on a mission to empower customers, providing them with a modern, managed stack that dramatically accelerates their digital transformation and lets them focus on what matters most: building value for their business.

The demand for operational efficiency, increased developer productivity, and the burgeoning needs of Generative AI (GenAI) workloads drives our work. Our serverless portfolio, from handling high-scale web requests to powering complex event-driven applications, is increasingly the answer for our customers' most challenging problems.

As a Senior Staff Engineer, you'll be at the very forefront of designing and implementing the next-generation infrastructure for Agentic AI, pushing the boundaries of what's possible in the cloud. This is a chance to make a profound impact, influencing architectural decisions and driving the evolution of a platform that's redefining how software is built and run globally.

If you're passionate about large-scale distributed systems, cutting-edge AI infrastructure, and solving complex problems with elegant serverless solutions, we want to hear from you. Join us and help define the future of Serverless AI.

The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Collaborate with product management, engineering leads, and external customers in defining technical strategy for AI and ML workloads on Cloud Run and in support of other first-party and third-party initiatives across Cloud that will leverage Cloud Run as a platform.
• Collaborate with with technical partners across Google to deliver key innovations in the serverless compute space.
• Guide architecture and integration strategies for first-party service producers and third-party platform providers building on Cloud Run to address Agentic AI use cases.
• Provide technical leadership and mentorship to serverless team members.
• Scale, improve, and operate backend distributed systems to ensure reliability, scalability, performance, cost efficiency, security and privacy.