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.
Enterprise Data Protection (EDP) is focused on protecting Google from exfiltration of intellectual property.
In this role, you will work on an engineering team that builds software systems that implement an array of security controls to prevent accidental or malicious data exfiltration which includes threats that originate from human or autonomous AI agentic actions. You will lead significant components of these systems in terms of design and development, working with cross functional stakeholders across geo locales.
Responsibilities
- Work on a team of software engineers to implement security controls across all systems processing or storing intellectual property, leading significant components designed to prevent data exfiltration.
- Partner with Security Engineers, Product Managers, Technical Program Managers, and cross-functional stakeholders to deploy preventive exfiltration controls.
- Design and build controls for systems.
- Build and implement automatic Artificial Intelligence (AI)-based classification systems for next-generation, context-aware security.
- Ensure security controls effectively mitigate risks from both human and autonomous agentic AI threats.
Minimum qualifications:
- Bachelor's degree in Computer Science or a related technical field or equivalent practical experience.
- 2 years of experience with full stack development, across the back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
- 2 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 2 years of experience working on large-scale distributed systems, or experience with mobile or web development.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- Expertise in AI, with specific experience in agentic software engineering.
- Familiarity with cybersecurity solutions and related product landscapes.
- Background in AI large-scale data reasoning and inference processes.