招聘

Staff Software Engineer, AI/ML, Cloud Identity and Access Management Infrastructure
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On-site
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Full-time
·
1w ago
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Architect and implement agentic authorization solutions, directly contributing to GCP's Agent Cloud foundation strategy.
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Lead the evolution of Cloud Identity and Access Management (IAM) through AI/ML integration. Drive the technical vision and design for the feature development of a highly available, low-latency, and scalable infrastructure systems for IAM policies and resources.
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Collaborate with product managers, technical program managers, and other engineering teams across our organization to define the roadmap and deliver on our commitments.
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Mentor and grow a team of talented engineers, fostering a culture of technical excellence and innovation.
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Ensure the operational health of our systems by participating in on-call rotations and driving improvements to our monitoring and automation.
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Bachelor's degree in Computer Science or a related technical field or equivalent practical experience.
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8 years of experience in software development.
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5 years of experience in a technical leadership role, designing and building large-scale distributed systems.
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5 years of experience with cloud computing technologies.
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3 years of experience in applying artificial intelligence and machine learning techniques to real-world problems, in infrastructure or security domains.
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关于Google

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
3.7
25条评价
工作生活平衡
3.8
薪酬
4.2
企业文化
3.4
职业发展
3.9
管理层
2.8
68%
推荐给朋友
优点
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
缺点
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
薪资范围
57,502个数据点
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0份报告
$176,704
年薪总额
基本工资
-
股票
-
奖金
-
$150,298
$203,110
面试经验
9次面试
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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