Network Development Engineer - ML Network

Description

Do you like to use your network engineering, software engineering and leadership skills to shape the future of network infrastructure for Machine Learning training and inference workloads.
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 in the ML team, you will be responsible for building, operating, the network availability, optimizing the performance of the Amazon networks that support AWS customers. 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 perform high quality network and/or systems operations, deployments, scaling, technology refresh, sustaining engineering, best practices application, optimization, internal/external customer interactions, and produce appropriate technical documentation.
• Create and implement changes on the network.
• Work closely with our automation teams in defining the tools that allow us to scale at a higher volume.
• Lead network projects in the areas of network sustaining engineering, network deployment/implementation, network scaling, technology refresh, best practices application, and/or network optimization.
• Sustain Amazon Web Services’ next generation networks for significant AWS customers by providing critical network support to diagnose, mitigate impact, and resolve large-scale networking events.
• Operate and troubleshoot network routing, interconnectivity, platforms, performance, and configurations issues; including necessary low level application interaction, Unix systems, and new age networking software tools.
• Drive and support innovation from Top of Rack to the Network Border and everything in between.
• Partner with our broader Network/Infrastructure organization in the areas of network engineering, configurations standards, and tools.
• Work closely with our Network/Systems/Software Engineering teams to ensure fast, smooth roll-out of new designs and products, as well as assist with deployment and sustaining of networking software tools.
• Maintain standards across the networking toolset and ensure that we are fully compliant to those standards and policies.
• Deliver simple, sustainable and repeatable solutions and processes.
• Collaborate with highest tier escalation engineers/resolvers.
• Create and review documentation and process regarding network implementation/deployments, recurring issues, new standard operating procedures, knowledge transfer material, etc.


A day in the life
• Work in a 24x7 team on call rotation, with ability to drive into workplace for critical events/needs.
• Manage customers during problem resolution and operating efficiently under pressure.
• Sit at the computer during scheduled work hours with appropriate breaks while maintaining a high level of alertness and attention to detail.
• 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, Director, Core Networking --- https://youtu.be/DqTStjRtjX4
- Meet Kensie, Network Development Engineer --- https://youtu.be/ezF3kpUAhWU

About AWS
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.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

EEO/Accommodations
AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting please https://www.amazon.jobs/en/disability/us.

Basic Qualifications

- 4+ years of major internet routing protocols experience
- 4+ years of working in a Linux/Unix environment experience
- 4+ years of experience in designing large scale networks
- 4+ years of operating large scale networks and operational excellence

Preferred Qualifications

- 1+ years of automation scripting using Python, Bash, Shell and/or Perl experience
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization technique
- 4+ years of optimizing network performance with solid experience in the end-to-end stack (network and servers)

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.