Google

Staff Software Engineer, AI Agent, Google Cloud IAM Infrastructure

Kirkland, WA, USA · Staff+

Sponsorship not specified$207k-$301kDetected 13 hours ago

Full-Stack DevelopmentData StructuresGCPCloud PlatformsMachine LearningNLPLLMsAgentic AICybersecurityUI DesignLeadership

About the role

- Bachelor's degree in Computer Science or a related technical field or equivalent practical experience.
- 8 years of experience in software development.

Architect and implement agentic authorization solutions, directly contributing to GCP's Agent Cloud foundation strategy.
Collaborate with product managers, technical program managers, and other engineering teams across our organization to define the roadmap and deliver on our commitments.
Lead the evolution of Cloud Identity and Access Management (IAM) through AI/ML integration.

Bachelor's degree in Computer Science or a related technical field or equivalent practical experience.
8 years of experience in software development.
5 years of experience in a technical leadership role, designing and building large-scale distributed systems.
5 years of experience with cloud computing technologies.

Master's degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a matrixed organization involving cross-functional, or cross-business projects.
Experience programming in C++.
Experience working in cloud security.
Our products need to handle information at massive scale, and extend well beyond web search.
the list goes on and is growing every day.

Drive the technical vision and design for the feature development of a highly available, low-latency, and scalable infrastructure systems for IAM policies and resources.
Ensure the operational health of our systems by participating in on-call rotations and driving improvements to our monitoring and automation.

This listing is sourced directly from Google's careers page and normalized into a canonical job model.