
Organizing the world's information and making it universally accessible.
Software Engineering Lead, Performance Infrastructure and Automation
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Lead on the Platforms Infrastructure Engineering (PIE) performance team. Drive multi-quarter projects from planning through landing to meet Objectives and Key Results (OKRs).
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Define the team’s roadmap, translate automation and infrastructure requirements into realizable solutions, and resolve technical and organizational roadblocks through cross-functional collaboration.
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Serve as the primary liaison between the United States (US) and Taiwan teams. Take end-to-end ownership of automation infrastructure for Cloud and Technical Infrastructure (TI) workloads.
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Lead the development and scaling of analysis tools for regression testing. Accelerate New Product Introduction (NPI) cycles and expand coverage.
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Analyze and debug performance characteristics in data-center workloads to drive gains. Triage issues at the intersection of Solid State Drive (SSD), Central Processing Unit/Graphics Processing Unit (CPU/GPU), and network stacks.
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Bachelor's degree or equivalent practical experience.
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8 years of experience with programming in C++, Java, Python.
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5 years of experience with test automation development, test infrastructure development, workload regression testing.
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3 years of experience with software design and architecture.
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Googleについて

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
最新情報
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