Senior Staff Software Engineer - Cloud Run & Serverless AI

Google; United States; On-site; USD 262,000 - 365,000; Full time

Benefits offered by this job

Health, dental, vision, life insurance

401(k) with company match

Paid Time Off: 20 days/year

Holidays: 13 paid days/year

Job summary

Google is seeking a Senior Staff Software Engineer for Agent Infrastructure in Serverless, with locations in Sunnyvale, Kirkland, and more. You will own outcomes, design large-scale back-end services, and influence multi-site teams across Cloud Run, Cloud Functions, and Kubernetes.

Expect a leadership-heavy role developing serverless platforms for AI workloads. The role emphasizes architectural strategy, platform sustainability, and rapid delivery for scale.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 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++

Serverless computing

Public cloud

Technical leadership

Education

Bachelor's degree

Job description

Google is seeking a Senior Staff Software Engineer for Agent Infrastructure in Serverless, with locations in Sunnyvale, Kirkland, and more. You will own outcomes, design large-scale back-end services, and influence multi-site teams across Cloud Run, Cloud Functions, and Kubernetes.

Expect a leadership-heavy role developing serverless platforms for AI workloads. The role emphasizes architectural strategy, platform sustainability, and rapid delivery for scale.