Staff Cloud IAM & Policy Architect

Google; United States; On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Bonus target

Job summary

Google is seeking a Staff Software Engineer to define technical goals and strategy within the IAM domain, focusing on security controls and foundational platforms. You will guide decisions across teams, shaping policies, AI initiatives, and the GCP compliance platform, while ensuring reliability and performance.

As part of the policy, platform, and AI teams, you will balance product quality with customer needs and business goals to deliver secure, scalable GCP systems.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++.
• 5 years of experience testing and launching software products.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 3 years of experience with software design and architecture.

Responsibilities

• Lead large-scale architectural and reliability initiatives in the Google Cloud Platform (GCP) data plane, ranging from proposals and designs to working scalable and reliable code to activities beyond coding: metrics, documentation, operations.
• Develop domain expertise in building and operating hyper-reliable GCP ring-0 infrastructure.
• Balance on-call and operational activities with feature development; drive cross-team execution.
• Provide technical oversight to ensure excellence in architecture, implementation, and long-term maintainability of core platforms.

Skills

C++

Software design

Distributed systems

Testing

Education

Bachelor's degree or equivalent

Master's degree or PhD in Engineering/CS

Job description

Google is seeking a Staff Software Engineer to define technical goals and strategy within the IAM domain, focusing on security controls and foundational platforms. You will guide decisions across teams, shaping policies, AI initiatives, and the GCP compliance platform, while ensuring reliability and performance.

As part of the policy, platform, and AI teams, you will balance product quality with customer needs and business goals to deliver secure, scalable GCP systems.