Network Development Engineer, ML Nework Engineering

Amazon is hiring a Network Development Engineer, ML Nework Engineering in Seattle, United States. It pays $114k-$160k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include Unix, network engineering and automation.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Develop, scale, and optimize machine learning network infrastructure and global data center fabrics for AWS.

Unix

network-engineeringautomationmachine-learning-infrastructureperformance-optimizationdatacenter

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 Core 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 developing, building, deploying, operating, performance optimization and scaling the Amazon networks that support AWS, customers, and other business units, across multiple global datacenters.
AWS Core 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. Core 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:
• Be responsible for developing, operating, optimizing the performance of the Machine Learning (ML) network infrastructure across all of our network fabrics that support Amazon business
• Automate our network across multiple global datacenters. This includes existing footprints and greenfield locations.
• Work closely with our automation teams in defining the tools that allow us to scale at higher volume.
• 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.

About the team
AWS NFE (Network Fabric Engineering) owns datacenter network services that provide unconstrained connectivity to our customers, such as EC2, EBS, S3. They own the networks internal to the datacenters end to end, including product development, scaling and operational functions. 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 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
- 1+ years of data center experience, or experience in networking
- 1+ years of Linux operating systems experience, or experience in similar technical or vocational roles

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
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

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 - 114,100.00 - 160,000.00 USD annually

How we rate this

Network Development Engineer, ML Nework Engineering at Amazon rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● 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.

Key facts

Network Development Engineer, ML Nework Engineering is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $114k-$160k a year.
The role is based in US, WA, Seattle.
The job was posted on July 29, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Network EngineeringAutomationMachine Learning InfrastructurePerformance OptimizationDatacenterUnix

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 automation was part of your work. What did you do?
Tell me about a project where machine learning infrastructure was part of your work. What did you do?
Tell me about a project where performance optimization was part of your work. What did you do?
Tell me about a project where datacenter was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Network Engineering, Automation, Machine Learning Infrastructure, Performance Optimization, and Datacenter. 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.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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