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职位Amazon

Network Dev Engineer, GCNA-D

Amazon

Network Dev Engineer, GCNA-D

Amazon

Dublin, D, IRL

·

On-site

·

Full-time

·

1mo ago

Amazon is the earth’s most customer centric company and is looking to hire highly motivated, best-in-class engineers for our expanding Network Engineering teams. You will be working on the networks that support the Earth’s largest cloud provider; our customers demand the highest quality and reliability for their services and while expanding at a tremendous rate, it is our responsibility to maintain quality and reliability while developing innovative ways to scale our network.

We are inventing the networks of the future so our engineers require a deep background in network in routing protocols and operating large scale networks. Our network engineers are pivotal in driving technology changes that ensure a safe and reliable operating environment, working with internal teams and customers to integrate new features and services to the network, developing automated tooling and implementing design optimisations that drive reliability and performance.

Network Operations

Our Network Engineering and Operations engineers are responsible for operating and maintaining the health of Amazon’s Retail and Web Services network. This team not only operates one of the largest networks on earth by leveraging the latest in high scale networking hardware, multi-tier topologies and advanced tooling but also solves complex technical problems. Our team supports all aspects of connectivity to/from Amazon and the outside world, as well as the connectivity between Amazon’s data centres and services.

Network Scaling and Deployment Engineering:

Our Network Scaling and Deployment engineers build and grow the Amazon network worldwide. We constantly adopt new and exciting technologies and integrate into our networks network topologies to scale for an ever-growing demand for network capacity. We expect our network engineers to be passionate about new technologies, to be curious and learn constantly, drive new and effective ways to build and scale networks while maintaining a vigilance on service safety. Our engineers are expected to self-manage several projects at a time, providing regular status updates identify and work though issues independently.

Job Responsibilities:

  • Provide critical network operations support to AWS’s internal and external customers to diagnose, remediate and troubleshoot large-scale networking events
  • Support and maintain our next generation data-center networks
  • Deliver simple, sustainable and repeatable solutions and processes to mitigate complex issues
  • Troubleshoot networking, routing and interconnectivity issues, including troubleshooting of network device configuration and low level application interaction
  • Solve complex challenges on an unprecedented scale to allow for automated operations of the Amazon network

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Insert in About the team, work life balance etc

About the team

About AWS

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture:

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth:

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Basic Qualifications

  • Bachelor's degree in electrical engineering, computer engineering, or equivalent, or experience with networking and troubleshooting (TCP/IP, DNS, routing, switching, firewalls, LAN/WAN, traceroute, iperf, dig, cURL or related) at an advanced level

Preferred Qualifications

  • Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in networking administration and troubleshooting and experience troubleshooting and debugging technical systems

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge