Senior Software Engineer, AI-Empowered Security, Cloud CISO

Google•Kirkland, WA

9h•$174,000 - $253,000

About The Position

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. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The Cloud CISO Security Engineering (CCSE) team builds 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 [https://www.google.com/about/careers/applications/benefits/].

Requirements

Bachelor's degree or equivalent practical experience.
5 years of experience programming in Python or C++.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
2 years of experience in security engineering, with a focus on infrastructure security, secure software development lifecycle (SDLC), threat modeling, or automated vulnerability discovery.
1 year of experience with AI/ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Experience with designing and evaluating AI-assisted tools or automation workflows to drive engineering efficiency.

Nice To Haves

Master's degree or PhD in Computer Science or related technical field.
5 years of experience with data structures and algorithms.
1 year of experience in a technical leadership role.
Experience designing, optimizing, or evaluating Generative AI solutions, LLM-based applications, or multi-agent orchestration systems.
Experience synthesizing large-scale telemetry, security data, or system logs to identify systemic gaps and drive organizational objectives.
Proficiency in the security assessment and design of global-scale distributed systems, with experience implementing end-to-end security controls (e.g., secure SDLC, automated vulnerability discovery, or threat analysis).

Responsibilities

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 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 executive engineers to help them grow into technical leaders.