Software Engineer III, Full Stack, Enterprise Data Protection
Summary
Google is hiring a full-stack Software Engineer III in Singapore for its Enterprise Data Protection team, building security controls that prevent data exfiltration (including threats from human and autonomous AI agents). Work spans back-end (Java, Python, Go, C++), front-end (JavaScript/TypeScript, HTML, CSS), and AI-based classification systems.
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.
- 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.