
Organizing the world's information and making it universally accessible.
Software Engineer, Android/Chrome, Security Infrastructure
About the job
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.
In this role, you will have a security background to join a new team in Singapore building AI-based tooling to improve the supply chain security of Android, Chrome, and ChromeOS. You will have multiple large project areas: source code trust, build integrity, infrastructure hardening, and third-party risk management.
You will use your existing security expertise to help the team develop AI-driven tooling, such as analyzing the third-party packages usage, developing tooling to assess risk, and building automation to make version upgrades easier, detecting suspicious patterns in upstream repo governance and developing risk signals, developing automated pen-testing capabilities, detecting gaps in chain-of-custody verification for builds, developing autonomous or semi-autonomous agents to scale up our ability to protect users and address previously intractable problems.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Responsibilities
- Research, design and develop AI-driven software, tooling, processes and configuration to protect all parts of the supply chain (infra, build pipelines, third-party dependencies) against compromised insider accounts and upstream dependencies.
Minimum qualifications
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Bachelor’s degree or equivalent practical experience.
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2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
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2 years of experience building software for data privacy or security (e.g., identity and access management).
Preferred qualifications
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Experience in niche security for example, malware analysis, intrusion detection, and anomaly analysis.
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Experience with open-source supply chain security.
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Experience with software development in Java, Golang, Python.
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Experience developing AI agents.
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Experience working on Android or Chromium.
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Experience working with Google Cloud.
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Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
员工数
Mountain View
总部位置
$1,700B
企业估值
评价
10条评价
4.5
10条评价
工作生活平衡
3.2
薪酬
4.3
企业文化
4.1
职业发展
4.2
管理层
3.8
82%
推荐率
优点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
缺点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
薪资范围
57,503个数据点
Mid/L4
Mid/L4 · Accessibility Analyst
1份报告
$214,500
年薪总额
基本工资
$165,000
股票
-
奖金
-
$214,500
$214,500
面试评价
9条评价
难度
3.4
/ 5
时长
14-28周
录用率
44%
体验
正面 0%
中性 56%
负面 44%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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