Google Senior Software Engineer, AI-Empowered Security, CISO

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Job Details

Posted date: Jun 09, 2026

Location: Kirkland, WA

Level: Senior


Description

Architect and scale robust, secure platforms that automate security checks across Google Cloud’s developer pipeline and production systems. Design, optimize, and evaluate AI-driven security capabilities, leading the identification of AI opportunities across Cloud Cyber Security Engineering (CCSE); including coding. Establish engineering and security standards for large-scale distributed systems, ensuring robust end-to-end security. Analyze and distill complex technical and security data to drive key organizational decisions and roadmap prioritization. Provide technical leadership for multiple teams, vet system designs, and mentor senior engineers to help them grow into technical leaders.

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.

We build the systems that keep Google Cloud secure. At Google's scale, our security approach requires constant innovation to keep all our customers safe. Our team utilizes the latest AI advances to ensure cloud products meet the highest security standards, discover novel vulnerabilities across billions of lines of code, and automate fixing issues before they reach production. We are transforming security into a seamless, automated part of every Google Cloud developer's workflow.

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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Qualifications

Minimum qualifications: Bachelor’s degree or equivalent practical experience.

5 years of experience with software development in one or more programming languages. 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

1 year of experience in security engineering, or to secure software development practices, vulnerability analysis, or infrastructure security basics.

Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields.

2 years of experience with data structures and algorithms. Experience developing accessible technologies.



Extended Qualifications

Bachelor’s degree or equivalent practical experience.

5 years of experience with software development in one or more programming languages. 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

1 year of experience in security engineering, or to secure software development practices, vulnerability analysis, or infrastructure security basics.

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