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Google

Software Engineer III, Enterprise Data Protection

Google

Published 14 May 2026
Singapore
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Java
Python
GO
C++
JavaScript
TypeScript
HTML
CSS

Key skills

AI
NLP
Information Retrieval
Computer Science
Product Management
Distributed Systems
System Design
Data Protection
Software Systems
Security Engineer
Full Stack
Backend
Frontend
PhD
Inference
Search
Storage
UI

Tools, Libraries and Frameworks

Description

The role involves developing software systems that implement security controls to prevent the accidental or malicious exfiltration of intellectual property. The engineer will lead the design and development of significant components within these systems while collaborating with cross-functional stakeholders. Responsibilities include building automatic classification systems that utilize artificial intelligence to provide context-aware security. The position requires addressing security threats originating from both human and autonomous AI agentic actions. The engineer will work on a team to deploy preventive controls across systems that process or store intellectual property.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree in Computer Science or a related technical field, or have equivalent practical experience. The role requires at least two years of experience in full-stack development and software development using specific programming languages. Applicants must demonstrate experience working on large-scale distributed systems or similar mobile and web development projects. The position also requires the ability to drive progress, solve problems, and mentor junior team members.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Google

Size

275773

Website

goo.gle

HQ

Mountain View, US

Public/Private

Public Company

Description

At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.

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