Jobs

Network Development Engineer I, ML Fabrics, Product Engineering
Santa Clara, CA, USA
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On-site
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Full-time
·
6d ago
Do you like to use network and Unix systems engineering to deliver simple, sustainable, and repeatable solutions? Would you like to play a key role in driving the stability and sustainability of next-generation IP networks?
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.
The AWS Networking team is looking for a Network Development Engineer to join our Network Fabric Engineering (NFE) team. As a Network Development Engineer, you will be responsible for building, deploying and scaling the Amazon networks that support AWS, customers, and other business units, across multiple global datacenters.
AWS Networking is focused on building Data Centers and the network that allows Data Centers to function efficiently. We own the solutions that allow racks to be aggregated and Data Centers to be interconnected. AWS Networking's goal is to balance efficiency, performance and reliability to allow customers access to their applications and data.
Key job responsibilities
Network Development Engineers will:
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Be responsible for deploying network infrastructure across all of our network fabrics that support the Amazon Retail Service, Kindle, Payments and multiple AWS services.
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Deploy, scale, and automate our network across multiple global datacenters. This includes existing footprints and greenfield locations.
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Drive scaling of current network designs to meet the demand of our customers.
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Create simple, repetitive deployment processes that increase both velocity and quality.
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Work closely with our internal customers on designs/solutions; bringing those designs/solutions from concept to production.
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Create and update our network standards and ensure that the network is deployed to these standards.
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Create and implement changes on the network.
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Work closely with our automation teams in defining the tools that allow us to scale at higher volume.
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A day in the life
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Work in a 24x7 team on call rotation, with ability to drive into workplace for critical events/needs.
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Manage customers during problem resolution and operating efficiently under pressure.
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Efficiently plan and safely deploy the network.
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Sit at the computer during scheduled work hours with appropriate breaks while maintaining a high level of alertness and attention to detail.
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Travel to data center/network sites and Amazon/customer offices as needed.
About the team
AWS NFE (Network Fabric Engineering) owns datacenter network services that provide unconstrained connectivity to our customers, such as EC2, EBS, S3 and Amazon CDO Services. They own the networks internal to the datacenters end to end, including scaling and operational functions, for both traditional datacenters. They also own newer AWS offerings such as Outposts and Local Zones.
- Working at AWS in the Core Networking Team
- Meet Matt, VP, Core Networking --- https://youtu.be/DqTStjRtjX4
- Meet Kensie, Network Development Engineer --- https://youtu.be/ezF3kpUAhWU
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 automation via Bash/shell scripting and Perl/Python programming
- Experience in major internet routing protocols, specifically BGP and OSPF
Preferred Qualifications
- Knowledge of network hardware and packet forwarding architectures
- Experience working with customers to diagnose a problem and work towards resolution
- Knowledge of network design, protocols and troubleshooting
- Thorough understanding of TCP/IP networking, IP routing, and core technologies such as IP, TCP, OSPF/IS-IS, BGP, MPLS, Server Load Balancers, Firewalls, ACLs, DNS, DHCP, IPAM, LDAP, NFS, etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Santa Clara - 131,200.00 - 185,000.00 USD annually
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About 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+
Employees
Seattle
Headquarters
$1.5T
Valuation
Reviews
2.9
10 reviews
Work-life balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
4 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total per year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common questions
Coding/Algorithm
System Design
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Leadership Principles
Technical Knowledge
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