Staff Security Engineer, Google Distributed Cloud, Federated Security

Our Security team works to create and maintain the safest operating environment for Google's users and developers. Security Engineers work with network equipment and actively monitor our systems for attacks and intrusions. In this role, you will also work with software engineers to proactively identify and fix security flaws and vulnerabilities.

GDC Federated Security is the team within the Google Distributed Cloud organization responsible for ensuring every product GDC ships is as secure as it can be and increasing the assurance levels of security in the infrastructure underlying all our products. This team focuses on increasing the capabilities of our product teams to develop more secure products by design and by default, from patterns, tools, and frameworks.

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.

• Lead product security as a horizontal domain or product vertical SME.
  
• Develop a trusted partnership with product team partners to ensure security is built into the Software Development Life Cycle (SDLC).
  
• Focus on the holistic security strategy for GDC products.
  
• Leverage AI tooling to Perform SDLC reviews, research and reproduce vulnerabilities, design secure systems.
  
• Review and develop secure operational practices, and provide security guidance for engineers. Review designs and look for vulnerabilities, both with one-time reviews and longer term engagements.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience with security assessments, security design reviews, or threat modeling.
• 8 years of experience with security engineering, computer and network security and security protocols.
  
• 8 years of coding experience in one or more general purpose languages.
  
• 3 years of experience with Cloud Security.

Preferred qualifications:

• Experience building, scaling, or deploying machine learning models on enterprise AI platforms.
• Experience scaling security impact using AI native solutions.
  
• Experience utilizing static code analysis tools to maintain code quality, security, and performance.
• Understanding of hardware architecture, particularly how software interacts with compute accelerators like GPUs or TPUs.
• Ability to implement code automation practices, including CI/CD pipelines and infrastructure as code.