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A leading cyber security company in Cambridge is seeking a software engineer to join their Deep Packet Inspection team. This role involves developing advanced technologies for network traffic monitoring and analysis. Candidates should have strong C++ programming skills and a solution-focused mindset. This position offers a hybrid working setup with benefits including private medical insurance and additional holiday days.
Founded by mathematicians and cyber defense experts in 2013, Darktrace is a global leader in cyber security AI, delivering complete AI-powered solutions in its mission to free the world of cyber disruption. We protect more than 9,000 customers from the world’s most complex threats, including ransomware, cloud, and SaaS attacks. Our roots lie deep in innovation. The Darktrace AI Research Centre based in our Cambridge, UK headquarters, has conducted research establishing new thresholds in cyber security, with technology innovations backed by over 130 patents and pending applications.
The Deep Packet Inspection (DPI) team specialises in developing advanced technologies for monitoring, analysing and storing network traffic on high-bandwidth networks. The team is responsible for building robust software solutions that enable real-time traffic inspection and data storage for future forensic analysis. Leveraging expertise in network architecture and packet-level data processing, the DPI team creates sophisticated traffic analysers that ensure visibility into network activities, detect anomalies and support other parts of Darktrace’s software in threat detection. In this role, you will dive into core software modules written in C++, collaborating closely with a variety of technologies and applications. You will also be responsible for but not limited to:
We are looking for candidates who have a solution-focused mindset combined with an analytical approach to problem-solving. During the interview process you’ll be able to demonstrate your ability to program using C++ and will show an understanding of writing code in a production environment. You should also be familiar with Linux environments, Docker and containers as well as demonstrating some networking and domain knowledge. Additionally, it’s likely that you’ll be:
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