Senior Staff Serverless Infra Engineer, AI Workloads

Google; Seattle (WA); On-site; USD 262,000 - 365,000; Full time

Benefits offered by this job

Health benefits

401(k) match

PTO 20 days

Sick time 69 hours Seattle

Maternity leave

Baby bonding leave

Paid holidays

Job summary

Google is seeking a senior software engineer to lead backend services for Cloud Run, focusing on the data plane to support evolving AI workloads and agents. You will provide technical leadership on high-impact projects and coach a distributed team across functions.

The role requires excellent C++ skills, strong design/architecture experience, and a proven ability to drive stack modernization while collaborating with executive product and engineering leadership.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++.
• 5 years of experience with design/architecture; testing/launching software products.
• 5 years of experience with serverless computing on public clouds (e.g., Google Cloud Run, 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 evolving 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++ programming

Design and architecture

Cloud concepts (serverless)

Backend systems

Education

Bachelor's degree or equivalent

Master's degree or PhD

Tools

Google Cloud Run

Cloud Functions

App Engine

Kubernetes

Job description

Google is seeking a senior software engineer to lead backend services for Cloud Run, focusing on the data plane to support evolving AI workloads and agents. You will provide technical leadership on high-impact projects and coach a distributed team across functions.

The role requires excellent C++ skills, strong design/architecture experience, and a proven ability to drive stack modernization while collaborating with executive product and engineering leadership.