招聘
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.
- Key job responsibilities
- Be responsible for automation of deploying network infrastructure across all of our network fabrics that supports the Amazon Retail Service, Kindle, Payments and multiple AWS services.
- Deploy, scale and automate our network across multiple global datacenters. This includes existing footprints and greenfield locations.
- Drive scaling of current network designs to meet the demand of our customers.
- Create simple, repetitive deployment processes that increase both velocity and quality.
- Work closely with our internal customers on designs/solutions; bringing those designs/solutions from concept to production.
- Create and update our network standards and ensure that the network is deployed to these standards.
- Create and implement changes on the network.
- Automate workfow and execution of deployments on a global scale
- Work closely with our automation teams in transitioning and designing new tools that allow us to scale at unprecedented volume.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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:
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and Amaze Con conferences, inspire us to never stop embracing our uniqueness.
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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Basic Qualifications
- Bachelor's degree
- Knowledge of IP networking fundamentals and extensive experience in the application of IP protocols
- Knowledge of network analysis fundamentals and robust troubleshooting
- Experience in major internet routing protocols, specifically BGP and OSPF
- Experience with network operating systems such as Cisco IOS and Junos
- Experience working in a Linux/Unix environment
Preferred Qualifications
- Knowledge of IT best practice frameworks (ITIL, COBIT) and operational excellence concepts or methodologies
- Knowledge of network hardware and packet forwarding architectures
- Experience with Unix and scripting in Perl, shell, C or C++
- Experience working with customers to diagnose a problem and work towards resolution
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
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
PublicAmazon.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
3.4
10条评价
工作生活平衡
2.3
薪酬
4.2
企业文化
3.1
职业发展
3.8
管理层
2.7
65%
推荐给朋友
优点
Great benefits and competitive compensation
Learning opportunities and career advancement
Good teamwork and colleagues
缺点
High pressure and long hours
Poor work-life balance
Toxic work culture and high turnover
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
6次面试
难度
4.0
/ 5
时长
21-35周
体验
正面 0%
中性 17%
负面 83%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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