AmazonNetwork Development Engineer, Datacentre Fabrics - Product Engineering
Amazon is hiring a Network Development Engineer, Datacentre Fabrics - Product Engineering in Arlington, United States. It pays $159k-$215k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions Cisco, Juniper and network engineering among its tools and skills.
- Level classes it as a mid-level role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Support and scale global datacentre network infrastructure and operations as a Network Development Engineer.
The Network Operations team is responsible for maintaining the health of Amazon’s Retail and Web Services network. This team plays a critical role in network scaling and responding to operational changes in the network, determining root cause, and working with internal teams and external vendors/ISPs with the goal of returning to a fully operational state. Additionally, the Network Operations team is responsible for performing changes to maintain the reliability of the network as it scales.
Key job responsibilities
Network Capacity Planning
* Responsible for core networks capacity planning
* Ensure network redundancy and long-term availability across the CLOS fabric
Operational Excellence
* Providing with the first response to monitoring systems alarms, and works to stabilize impact as quickly as possible across the Amazon network
* Troubleshoot routing and interconnectivity problems – including troubleshooting of network device hardware failures
* Identify and troubleshoot recurring platform problems
* Collaborate with internal teams to diagnose problems, and return devices/configurations to a healthy state
* Escalate to external vendors (Cisco, Juniper, etc) to diagnose problems and facilitate part replacement
* Work with ISPs to diagnose problems between Amazon’s network and their infrastructure.
* Provide support in large scale events
Change Management
* Focus on the needs of the customer in all change scenarios
* Help to determine requirements, then write, review and execute changes safely
* Collaborate with driving standards across the network, and ensure that we are fully compliant to standards and policies.
* Work with invested teams to scope change work and deliver to a deadline
Automation
* Look for automation opportunities in troubleshooting and administration tasks
* Work with System Developers to scope tools that meet the Network Operation team’s needs.
Continued Improvement
* Create and review documentation for processes and troubleshooting best practices
* Identify simple, sustainable and repeatable solutions and processes
* Involvement in the interviews for entry level positions
Key job responsibilities
You will be responsible for managing, improving and designing the AWS datacentre core networks leveraging the latest technologies to ensure we optimise performance to meet customers desires.
A day in the life
You will work closely to with internal and external partners to drive the programs that you are responsible for. You will ensure that timelines are defined and followed to enable the successful delivery of features and products to meet customer demands.
About the team
Capacity Management Team sits within the DCF Organization and are responsible for all aspects of planning the core networking datacenter network. The team is located between Washington and Dublin. The team has overall responsibility of capacity planning and scaling to support the datacenter core networks. The team ensures there are defined transition plans, maximizing the cost effectiveness of our topologies for the full lifecyle from initial designs to decommissioning. We use the latest hardware to provide the best user experience for customers.
Basic qualifications
- 5+ years of major internet routing protocols experience
- 3+ years of automation scripting using Python, Bash, Shell and/or Perl experience
Preferred qualifications
- CASP+ (CompTIA Advanced Security Practitioner) or CCNP Security (Cisco Certified Network Professional-Security) or CCSP (Certified Cloud Security Professional), or Bachelor's degree
- industry standard certification (CompTIA, CCENT, or Network+), or experience in a relevant field (e.g., Computer Science, Networking Engineering)
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, VA, Arlington - 159,100.00 - 215,300.00 USD annually
How we rate this
Network Development Engineer, Datacentre Fabrics - Product Engineering at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where network engineering was part of your work. What did you do?
- Tell me about a project where capacity planning was part of your work. What did you do?
- Tell me about a project where troubleshooting was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Walk me through how you've used Cisco in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Network Engineering, Capacity Planning, Troubleshooting, Automation, and Cisco. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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