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Sr Software Dev Engineer, Internet Monitoring

Sr Software Dev Engineer, Internet Monitoring

Job ID 
496777
Location 
US-WA-Seattle
Posted Date 
3/2/2017
Company 
Amazon Corporate LLC
Position Category 
Software Development
Recruiting Team 
..

Job Description

Amazon’s network is a key differentiator for Amazon Cloud Computing and Web Services (AWS), enabling the global operation of thousands of applications across millions of servers worldwide. The network is fundamental to the success of Amazon.com and hundreds of thousands of AWS Customers. And, right alongside there is THE most pervasive, important, and complex communications network in the world -- the Internet.

The Internet is the world’s most complex network, with over 57,402 unique networks connected together, it contains hundreds of millions of edges and nodes - somewhere out there things are about to go south.

One of the core backbone routers of a major Tier-1 Internet provider is having a bad day. It started with a transient, yet persistent, problem which was only detectable by a slight increase in dropped packets that went mostly unnoticed. An hour later the router suffered a catastrophic failure dumping 500Gbps of traffic onto an already congested alternate path causing ripples across the Internet, disrupting websites and other Internet based services on the U.S Eastern seaboard.

Social media is ablaze as frustrated people rant about their favorite website, video, or gaming service being down, or so slow that it’s unusable. While the Internet burns, our customers are humming away oblivious to the disaster.

Come join us and …
  • Do what nobody else in the world is doing… literally
  • Gain world class knowledge and expertise on the inner workings of the Internet, working with top-tier Network and Software Engineers
  • Define and Develop Amazon’s Internet Monitoring architecture
  • Play in the piles of data to discover patterns that push our understanding and knowledge of Internet performance and availability anomalies
  • Build massive real-time systems which inform and drive complex changes across the Internet
  • Gain practical experience building incredible distributed systems software using Amazon Web Services


The ideal candidate will be clearly passionate about the large opportunity for software innovation that Amazon’s Network presents and about web services in general. If you have an insatiable curiosity, love the process of discovery, like to solve complex technical problems, and you’re reading this with a grin… we should talk.

Basic Qualifications

  • 8+ years of industry experience designing, and building large complex real-time distributed back-end systems
  • Demonstrated experience influencing and executing on team/product direction and vision
  • Track record of continually raising team productive and effectiveness by defining and driving software engineering best practices
  • Works with peer SDEs across organizations, driving efforts to raise the IQ of our collective software architectures and ecosystem
  • Expert command of Computer Science fundamentals: data structures, algorithms, complexity analysis, object-oriented design, unit testing, and systems architecture
  • Significant experience with Java or C/C++ and Perl or Python development in a Linux environment using Test Driven Development
  • Works independently with customers, stakeholders and peers, and effectively balances their needs and requirements
  • Track record in investing time in the development of others by actively mentoring and educating the larger SDE community on trends, technologies, and best practices

Preferred Qualifications

  • Advanced degree in Computer Science, mathematics, or other technical discipline
  • Experience with network performance measurement and analysis techniques
  • A broad understanding of WAN and how the Internet works
  • Familiarity or experience with networking protocols and concepts such as routing, TCP/IP, BGP, OSPF/ISIS, NetFlow, SNMP, and Internet Traffic Engineering techniques
  • Knowledge and experience with statistics, data analysis, and machine learning; specifically, anomaly and trend detection (statistical inference, regression models etc)
  • Machine Learning - regression, classification, clustering & retrieval, recommender systems & dimensionality reduction, deep learning etc
  • Knowledge of modern development platforms such as Go, Rust, containerized deployment (such as Docker, rkt, Kubernetes) a plus