Amazon Data Services Ireland Limited
Technology
NetworkDevelopmentEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Network Development Engineer at Amazon Data Services Ireland Limited. Skills: Network Engineering, Network Automation, Large-scale networking. Deploy network infrastructure across network fabrics. Deploy, scale and automate network across global datacenters”
Industry & Context.
Troubleshooting complex network problems
What They're Looking For.
Must Have
Bachelor's degree in Engineering, Information Technology, or related technical field or equivalent experience, Experience working in large-scale networking environments, Experience in internet routing protocols and concepts: TCP/IP, BGP, MPLS, ISIS and/or OSPF, Experience with network operating systems such as Cisco IOS and Junos, Experience working in a Linux/Unix environment, Experience in automation via Bash/shell scripting and Perl/Python programming
Nice to Have
Knowledge of network analysis fundamentals, Experience working with customers to diagnose a problem and work towards resolution, Experience in English-language communication skills, both written and verbal, Experience leading and defining requirements and driving these across diverse organizations, Experience leading highly technical programs involving infrastructure, complex systems, systems engineering
What You'll Do.
Deploy network infrastructure across network fabrics
scale and automate network across global datacenters
Drive scaling of current network designs
repetitive deployment processes
Work closely with internal customers on designs/solutions
Bring designs/solutions from concept to production
Create and update network standards
Ensure network is deployed to standards
Create and implement changes on the network
Work closely with automation teams
Define tools that allow scaling
How You'll Work.
Team & Collaboration
Work closely with automation teams; Work closely with internal customers
Communication Scope
Written communication; Verbal communication
Process & Methodology
Project management, Time management
Full Job Description
Amazon is looking for best-in-class Network Engineers to help deploy and automate one of the world’s largest and complex networks. With Amazon our goal is to become “The Infrastructure Platform” to the world. Our customers demand the highest quality and reliability for their services. We are expanding at a tremendous rate it is our responsibility to maintain quality and reliability while developing innovative ways to automate the scaling of our network. As a Network Engineer working within Amazon Infrastructure you will: - Be responsible for deploying network infrastructure across all of our network fabrics that supports the Amazon Retail Service, Kindle, Payments and multiple Amazon 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. - Work closely with our automation teams in defining the tools that allow us to scale at unprecedented volume. Our ideal candidate is highly autonomous, possesses strong written and verbal communication skills, strong project management and time management skills and has a successful track record of designing simple, scalable solutions and troubleshooting complex network problems and delivering innovative solutions. The desire and ability to work in a fast paced, collaborative environment is essential. Basic Qualifications: - Bachelor's degree in Engineering, Information Technology, a related technical field or equivalent experience - Experience working in large-scale networking environments - Experience i
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