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职位Google

Software Engineer, Platforms Release Engineering, Google Cloud Platforms

Google

Software Engineer, Platforms Release Engineering, Google Cloud Platforms

Google

·

On-site

·

Full-time

·

2w ago

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 be serving as the essential quality gatekeeper and release driver, delivering flawless, scalable, and performant platforms system software from New Product Introduction (NPI) to production through robust and automated infrastructure.

Responsibilities

  • Manage the software release pipeline to roll out new features and fixes to the production fleet on time.

  • Qualify the software bundles to capture quality issues. Perform software qualifications, which involves smoke test, bundle upgrade or downgrade test, release test, system test, security test, performance test, reliability test, and user workload test.

  • Develop test profiles to guarantee sufficient test coverage. Build and improve the infrastructure to support software qualification and releases.

  • Consolidate and streamline the tools, qualification, and release infrastructure. Strengthen test result analysis through data visualization and insightful metrics.

  • Collaborate with cross-functional teams to solve software problems. Adopt AI technology (e.g., Gemini) to increase test engineering productivity and enable a data-driven problem-solving approach.

Minimum qualifications

  • Bachelor’s degree or equivalent practical experience.

  • 5 years of programming experience in C++, GO, or Python.

  • 3 years of experience across testing, maintaining, or launching software products.

  • 1 year of experience with software design and architecture.

  • Experience with debugging in software development, developing and executing test plans or developing and implementing quality control procedures.

Preferred qualifications

  • Master's degree or PhD in Computer Science or related technical field.

  • 5 years of experience with test automation development in C++, Python or Go.

  • Experience with test infrastructure development, supporting software system launch and ongoing development.

  • Ability to have a strong sense of product quality, system software and handle large-scale software release.

  • Ability to explore and propose technical solutions to address complex validation challenges, particularly in large-scale AI/ML infrastructure environments.

  • Excellent problem-solving, consulting and organizational skills.

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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

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