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Network Development Engineer II - AWS Direct Connect, DX Operations, DX Operations
必备技能
AWS
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.
Amazon.com is looking for best-in-class Network Engineers to drive the operations and of one of the world’s largest and complex networks. With Amazon Web Services (http://aws.amazon.com), our goal is to become “The Infrastructure Platform” to the world. Our customers demand the highest quality and reliability for their services and challenge us to be better, faster, and cheaper every day. We are expanding at a tremendous rate; it is our responsibility to maintain quality and reliability while developing innovative ways to the operation of our
Key job responsibilities
As a Network Development Engineer working within AWS Infrastructure you will:
Provide critical on-shift network operations support to Amazon.com customers to diagnose and respond to large-scale events.
Support and maintain our next generation networks.
Deliver simple, sustainable and repeatable solutions and processes.
Partner with our broader Technical Operations organization to reduce operational burden.
Work closely with our Network Engineering & Deployment teams to ensure operational readiness for new deployments.
Drive standards across the network and ensure that we are fully compliant to those standards and policies.
Participate and drive impact mitigation during large-scale events utilizing an established Event Management process.
Drive event deep dives for large-scale events, deliver high-quality documentation for the events and drive corrective actions to completion.
Improve our detection mechanisms by designing and implementing new alerts.
Identify and troubleshoot recurring platform issues and ability to effectively engage with mid and senior-level engineering teams for full resolution.
Create and review documentation and process regarding recurring issues, new standard operating procedures, knowledge transfer material, etc.
Troubleshoot , and interconnectivity issues, including troubleshooting of network device configuration and low level application interaction.
Identify and drive opportunities to repeatable tasks through creation and maintenance of scripts and tools.
Effectively contribute towards hiring and developing others in the team.
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.
Basic Qualifications
- 5+ years of major internet routing protocols experience
- 3+ years of work in large-scale networking environments experience
- Experience with TCP/ICP networking fundamentals and application of IP protocols such as: DNS, DHCP, NTP, SMTP, and SNMP
- Experience working in a Linux/Unix environment
- Experience in any of the following: Python, Java, Perl, PHP, Ruby, Bash, Shell or equivalent
- 4+ years of networking (such as DNS, DHCP, SSL, OSI Model, and TCP/IP) experience
Preferred Qualifications
- 1+ years of automation scripting using Python, Bash, Shell and/or Perl experience
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
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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
10条评价
3.4
10条评价
工作生活平衡
2.5
薪酬
4.2
企业文化
3.0
职业发展
3.8
管理层
2.7
65%
推荐率
优点
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
缺点
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
薪资范围
4个数据点
L2
L6
L3
L4
L5
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
面试评价
6条评价
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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