Senior Software Engineer, Enterprise Data Protection
Indexed description
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience with full stack development, across back-end such as Java, Python, Golang, C++ or equivalent codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
- Experience with designing and operating large-scale distributed systems.
- Master's degree or PhD in Computer Science or a related technical field.
- Experience in AI-driven large-scale data reasoning and inference processes.
- Experience in AI, specifically in agentic software engineering.
- Proven track record of supervising teams of 4-5 engineers, providing direct coaching and professional mentorship.
- Familiarity with cybersecurity solutions and related product landscapes.
- Ability to integrate rapidly into new team environments while facilitating the onboarding of fellow engineers.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
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. This will include threats that originate from human or autonomous AI agentic actions. You will lead large parts of the systems involved, independently designing and guiding other engineers on implementation. You will be a critical part of creating a culture of engineering excellence in the team. You will work with cross-functional stakeholders across geo locales.
Responsibilities
- Implement holistic, next generation security controls that are context aware across all Google systems storing intellectual property.
- Work with Security Engineers, Product Managers, Technical Program Managers, and partner teams to implement preventive data exfiltration controls.
- Lead other engineers on designing and building controls for systems, including workspace, chrome, bug manager, corporate endpoints, and access management.
- Lead the engineering effort to design and implement automatic AI-based classification systems, ensuring controls are effective against threats from agentic AI.
- Help onboard other engineers and foster a culture of engineering excellence across the team.
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