ThousandEyes empowers enterprises to see, understand and improve digital experiences for their customers and employees. The ThousandEyes cloud platform offers unmatched vantage points throughout the global Internet and cloud providers, delivering immediate visibility into the digital experience for every user, application, website or service, over any network. ThousandEyes is central to the global operations of the world's largest and fastest growing brands, including Comcast, eBay, HP, 120+ of the Global 2000, 65+ of the Fortune 500, 6 of the 7 top US banks, and 20 of the 25 top SaaS companies.
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.
Learn more about engineering at ThousandEyes: https://www.youtube.com/watch?v=b9a_c8yJyzc
About the Role
The Browser Insights team at ThousandEyes is one of the main drivers of value to our customers. We're responsible for building out the platform and tooling necessary for our customers to gain insight into critical performance metrics about their web based applications. You can expect to work on both software built to probe metrics from thousands of vantage points around the world, and on handling the ingestion of this high volume of data.
Our biggest project for this year revolves around modernizing the world of transaction scripting by allowing users to write scripts in a high-level programming language, and coupling that with cutting edge data visualization and analytics of the data collected via these transactions.
If you are passionate about working on huge amounts of data, distributed systems, or driving immense customer value and tapping into a multi-hundred million dollar market, this is your team!
What we're looking for:
- 4+ years of software development experience
- A fast learner
- Comfortable working with newer technologies
- Preferred experience with streaming architectures, in particular, Kafka
- Experience with network protocols is a plus
- Strong Computer Science fundamentals