Job Description
Join a high‑performance engineering group working at the forefront of application identification and DDoS mitigation technologies. This role offers a challenging workplace where you will analyze complex network behaviors, build automated test systems, and help strengthen technologies protecting global networks.

How You Will Contribute And What You Will Learn

Contribute to the design, validation, and continuous improvement of application identification algorithms and DDoS mitigation technologies.

Verify and analyze application detection mechanisms along with network behaviors involving QUIC, HTTPS, RTP and other protocols.

Develop automated test cases in a Linux‑based regression environment to validate application signatures and new DDoS mitigation features.

Set up and configure test servers/services (e.g., HTTP servers, DNS servers) to create realistic test environments.

Work collaboratively with testers and developers to identify, analyze, report, and resolve software defects.

Monitor and debug automated regression systems, improving test coverage and tool capabilities.

Break down complex problems piece by piece, diving deep into traffic flows, signatures, packet behavior, and system interactions.

Gain hands‑on experience in advanced networking, cybersecurity, traffic classification,



and large‑scale mitigation systems.

Key Skills And Experience
You have:

A master’s degree or a bachelor’s degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, or a related field from an accredited Canadian institution, with graduation in 2025 or expected in Spring 2026.

Hands‑on experience with Linux‑based systems.

Strong understanding of computer networking protocols, including: TCP/IP, DHCP, ARP, DNS

Python proficiency (essential) for automation, test development, and debugging.

Solid software development skills:

Scripting and programming (Python required)

Debugging and troubleshooting

Experience with Git or similar source control systems

A quality‑driven, detail‑oriented problem‑solver who breaks down complex challenges analytically, coupled with a fast‑learning, self‑starter mindset that takes ownership and drives work forward independently.

It would be nice if you also had:

Experience with Wireshark or similar traffic‑analysis tools, with exposure to machine learning concepts, data labeling, or traffic‑classification models, is considered an asset (but not required).

Previous Nokia intern or co‑op experience.

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📌 Jr. Deep Packet Inspection QA Engineer (Quebec City)
🏢 NOKIA
📍 Quebec City