トレンド企業

Google
Google

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

Staff Software Engineer, Infrastructure, Google Cloud Capacity Planning

職種エンジニアリング
経験Staff+
勤務オンサイト
雇用正社員
掲載3週間前
応募する
  • Provide technical leadership on high-impact and high-visibility projects within the Cloud ML Capacity Planning Allocations and Optimization team.

  • Drive numerous projects to support our operational planning teams.

  • Cross-team collaboration with multiple stakeholders across all of Google.

  • Architect, design, and guide the development of foundational infrastructure systems by creating technical system designs and owning the technical strategy.

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience in software development (e.g., Go, Java, C++).

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

  • 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.

  • 3 years of experience with software design and architecture.

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Googleについて

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

従業員数

Mountain View

本社所在地

$1,700B

企業価値

レビュー

10件のレビュー

4.5

10件のレビュー

ワークライフバランス

3.2

報酬

4.3

企業文化

4.1

キャリア

4.2

経営陣

3.8

82%

知人への推奨率

良い点

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

改善点

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

給与レンジ

57,503件のデータ

Mid/L4

Mid/L4 · Accessibility Analyst

1件のレポート

$214,500

年収総額

基本給

$165,000

ストック

-

ボーナス

-

$214,500

$214,500

面接レビュー

レビュー9件

難易度

3.4

/ 5

期間

14-28週間

内定率

44%

体験

ポジティブ 0%

普通 56%

ネガティブ 44%

面接プロセス

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense