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Job Details
Posted date: Mar 17, 2026
Location: Kirkland, WA
Level: Director
Estimated salary: $253,500
Range: $207,000 - $300,000
Description
Lead the technical direction and design for the feature development of highly available, low-latency, and scalable infrastructure systems for Identity and Access Management (IAM) policies and resources. Architect and implement solutions for Agentic authorization, contributing to the broader Artificial Intelligence (AI)-driven goal of Google Cloud. Collaborate with Product Managers (PMs), Technical Program Managers (TPMs), and other engineering teams across our organization to define the roadmap and deliver on our commitments. Mentor and grow a team of talented engineers, fostering a culture of technical excellence and innovation. Ensure the operational health of our systems by participating in on-call rotations and driving improvements to our monitoring and automation.Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Google Cloud Platform (GCP) is at the forefront of the cloud computing industry, and the Identity and Access Management (IAM) team, also known as Capsium, is a cornerstone of its success. The rise of Artificial Intelligence (AI) agents introduces new paradigms and issues to traditional Identity and Access Management (IAM). Unlike human users, AI agents operate autonomously, accessing resources and tools, shifting the focus from "Who has access?" to "What can this agent do and what is it doing?". The potential impact and blast radius of agents can be obscured across multiple systems and policies, making risk assessment difficult. Furthermore, the proliferation of non-human identities and the velocity of agent actions amplify potential risks, while static policies struggle to govern dynamic agent behaviors.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $207,000-$300,000 + 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.
Qualifications
Minimum qualifications: 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. 3 years of experience in applying artificial intelligence and machine learning techniques to real-world problems, in infrastructure or security domains.
Preferred qualifications: 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.
Extended Qualifications
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. 3 years of experience in applying artificial intelligence and machine learning techniques to real-world problems, in infrastructure or security domains.