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Google
Google

Organizing the world's information and making it universally accessible.

Staff Software Engineer, App Hub

职能工程
级别Staff+
方式现场办公
类型全职
发布3周前
立即申请
  • Model resources intricately across compute infrastructure, cloud networking, big query, agents, and more, requiring nuanced understanding.

  • Ingest data from multiple sources in various forms (real-time events, checkpoint files). This currently involves two parallel stacks for real-time processing and offline reconciliation at both the App Hub and Cloud Asset Inventory and Search (CAIS) ends.

  • Architect a system for massive scale and high throughput.

  • Enrich data with product mappings, Map Reduce (MR) mappings, and identities from various systems, utilizing real-time and offline reconciliation paths to ensure data integrity, freshness, and lossless handling.

  • Design a system that is operationally sound, scalable, and resilient to handle failures gracefully.

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience in software development.

  • 5 years of experience testing, and launching software products.

  • 3 years of experience with software design and architecture.

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关于Google

Google

Google

Public

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