Software Development Engineer

Amazon

Seattle, WA

JOB DETAILS
SKILLS
Amazon Elastic Compute Cloud (EC2), Amazon Web Services (AWS), Artificial Intelligence (AI), C++ Programming Language, Cloud Computing, Code Reviews, Coding Standards, Computer Firmware, Computer Networks, Computer Science, Design Patterns Programming Methodologies, Distributed Applications, Distributed Computing, Embedded Software, Embedded Systems, Java, Large-Scale Systems, Linux Operating System, Machine Learning, Mathematics, Memory Management, Microsoft C# (C Sharp), Multithreaded Programming, Network Administration/Management, Network Protocols, Network Software, Network Systems, Packet Processing, Parallel Computing, Performance Management, Perl Programming Language, Private Cloud, Problem Solving Skills, Programming Languages, Realtime Operating System, Root Cause Analysis, Security Policy, Software Design, Software Development, Software Development Lifecycle (SDLC), Software Engineering, Source Code/Configuration Management (SCM), Testing, Virtual Machine (VM), Virtualization
LOCATION
Seattle, WA
POSTED
30+ days ago
Description Do you want to build the networking infrastructure that powers every virtual machine in the world's largest cloud? Are you excited by the challenge of writing systems software that runs on millions custom networking cards across millions of hosts? The Amazon Elastic Compute Cloud (EC2) Instance Networking team builds and operates the software-defined networking stack at the heart of AWS. Our code is what makes Virtual Private Clouds (VPC) work, what enforces customer security policies, and what enables workloads to scale from a single instance to clusters of tens of thousands. Every packet that enters or leaves an EC2 instance flows through software we write, running on custom silicon designed in-house. This work sits at the intersection of cloud infrastructure and the AI revolution. As machine learning workloads grow to unprecedented scale - training runs spanning thousands of accelerators, clusters demanding millions of network endpoints, and fabrics pushing hundreds of gigabits per second. We build the networking primitives that make these workloads possible: high-performance interfaces, low-latency data plane protocols, and scalable network virtualization that operates predictably even under heavy churn. When the world's most ambitious AI companies scale on AWS, they're relying on the software we build. You'll write low-level systems code in C and Rust running on custom hardware in a real-time embedded environment. You'll work on network virtualization protocols, packet processing pipelines, and availability mechanisms that must perform correctly at massive scale with sub-second latency requirements. You'll solve problems that span hardware, firmware, and software, and see the direct impact of your work on customers running some of the largest and most demanding workloads in the cloud. Key job responsibilities - Design and implement data plane networking software on custom hardware, working across the full software lifecycle from design through deployment and operations - Build and improve network virtualization systems that deliver VPC connectivity, security policy enforcement, and performance isolation for EC2 customers - Investigate and resolve complex production issues across distributed embedded systems, driving root cause analysis and permanent fixes - Collaborate with partner teams across hardware, control plane, and ML platforms to deliver end-to-end solutions Basic Qualifications - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications - 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Knowledge of system performance, memory management, and parallel computing principles - Experience in networking, large-scale distributed systems or a related field - Experience in Linux and Networking protocols 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 - 143,700.00 - 194,400.00 USD annually

About the Company

A

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Other/Not Classified
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles