About ThousandEyes

The name ThousandEyes was born from two big ideas: the power to see things not ordinarily possible and the ability to collect insights from a multitude of vantage points. As organizations rely more on cloud services and the Internet, the network has become a black box they can't understand. ThousandEyes gives organizations visibility into the now borderless network, arming them with an accurate understanding of how the network impacts their applications, users and customers. ThousandEyes is used by some of the world's largest and fastest growing brands, including all of the top 5 global software companies, 5 of the top 6 US banks, and 45 of the Fortune 500. ThousandEyes is backed by Sequoia Capital, Sutter Hill Ventures, Tenaya Capital, Google Ventures and Salesforce Ventures, with headquarters in San Francisco, CA.

Engineering at ThousandEyes

At ThousandEyes, we use cutting-edge technologies and innovative techniques to study and visualize networks on a global scale.

ThousandEyes engineers are focused on continuous improvement -- of our product, our codebase, our knowledge, and our skills. We believe in innovation, simplicity, and elegance. We work in small, cross-functional teams where everyone has a voice.

About the Role

As a Software Engineer focused on distributed systems, you will be contributing to our data collection and processing infrastructure. This includes the software that powers our global footprint of Cloud and Enterprise Agents (C++), as well as the pipeline of Java and C++ microservices that process all of the data we collect. 

Apply for this role if you:

  • Are a fast learner
  • Are comfortable working with new technologies
  • Are exceptional with C++11
  • Are fluent in Java
  • Have excellent software design skills
  • Have a deep understanding of distributed systems

Senior roles are available to those who have any of the following:

  • An advanced degree in a relevant area
  • Significant work experience with large C++11 applications or distributed data collection systems

Bonus points if you have a deep understanding of network protocols such as TCP/IP, DNS, and BGP, or have worked with any of the other technologies in our stack.

Our data collection technology stack:

  • C++11
  • Java (Spring Framework)
  • Ubuntu Linux
  • MongoDB
  • MySQL
  • Kubernetes
  • Kafka
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