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职位Google

Customer Solutions Engineer III, Infrastructure, Kubernetes, Google Cloud

Google

Customer Solutions Engineer III, Infrastructure, Kubernetes, Google Cloud

Google

·

On-site

·

Full-time

·

1w ago

About the job

The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You hear the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

In this role, you will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will be focused on customer needs and help drive the success of Google Cloud by understanding and advocating customers’ issues. You will be required to work in a Shift Pattern or non-standard work hours as required. This may include weekend work.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • Support customers on their production Google Kubernetes Engine (GKE)/Anthos deployments to resolve issues and achieve product readiness, availability, and scale.

  • Build an understanding of Google Cloud's GKE/Anthos product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer reported issues, building tools, and faster diagnosis.

  • Serve as a consultant and subject matter expert for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud.

  • Work as part of a team of engineers/consultants that globally ensure 24 hour customer support.

Minimum qualifications

  • Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.

  • 3 years of experience in solution engineering and 1 year of experience in stakeholder management, professional services, or technical consulting.

  • 2 years of experience writing code in one or more programming languages (e.g., Python, Java).

Preferred qualifications

  • Master’s degree in Engineering, Computer Science, Business, or a related field.

  • Experience using Machine Learning and building solutions.

  • Experience working with systems (e.g., Linux, Unix, Windows).

  • Experience with the following: Web Tech, Systems Administration, Devops, Networking, Kubernetes.

  • Experience in technical consulting on supporting large enterprise customers with high service-level agreement requirements.

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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