Senior Staff Software Engineer, Google Cloud Security

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.

Enable browser as the new security endpoint for enterprises where work gets done securely and as a front line of defense for enterprises. Browser has not only evolved into a home of modern work but also moving towards an AI runtime for agents on the endpoint. We are on a mission to protect AI-first enterprises in the new agentic world.

As an overall UTL of Cloud-delivered, AI-driven Security Services that power Chrome Enterprise Premium Security, you will own the overall technical vision and strategy of these critical security services. These security services provide malware and phishing protection, DLP, Zero Trust Access, Telemetry services and browser-first threat detection and response with Google SecOps.

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 $248,000-$349,000 + 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.

The Canada base salary range for this full-time position is CAD 248,000-254,000 + 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.

Please note that the compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Own the broader technical vision and strategy of Cloud Engineering Productivity (CEP) and core security services that power CEP Security, including alignment with Chrome Engineering and Workspace product areas.
• Own the technical vision and strategy for browser-first detection and response working closely with Google SecOps.
• Enable a strong engineering and technical excellence culture including reliability and operational health.
• Bring an AI-first mindset to engineering and technical architecture, strategy, and execution.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience programming in C++.
• 5 years of experience with design and architecture; and testing/launching software products.

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.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
  
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.