R&D Security Engineer

Indefinido
La Garenne-Colombes
Salario: No especificado
Fecha de inicio: 31 de agosto de 2025
Teletrabajo ocasional
Experiencia: > 3 años
Formación: Licenciatura / Máster

EFFICIENT IP
EFFICIENT IP

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Preguntas y respuestas sobre esta oferta

El puesto

Descripción del puesto

We are seeking motivated and passionate talents eager to accelerate their professional growth in Security and Data Analysis, contributing to innovative projects and solutions while helping to protect our users and their data.

  • Identify, design, and implement new security features, as well as continuously improve existing functionalities to address emerging threats and strengthen the overall security posture.

  • Optimize and maintain our data processes to ensure efficient collection, storage, and analysis of data.

  • Develop and maintain a web interface for our security tools, ensuring it is both visually appealing and highly functional.

  • Continuously collect and analyze Indicators of Compromise (IoCs) such as IP addresses, domain names, and other relevant data to identify emerging threats and proactively mitigate risks.

  • Stay up-to-date with the latest security trends, best practices, and emerging threats through continuous professional research and development.


Requisitos

You’ll be great for this role if you have these qualifications:

  • Experience in front-end development (HTML, CSS, JavaScript) and back-end development (Python), with proficiency in at least one framework (e.g., Flask, Django)

  • Strong knowledge of networking (DNS, DHCP, TCP, UDP, IP, etc.) and security (cryptography, protocols, audit/pentest, IDP/IPS, firewall, etc.).

  • Excellent problem-solving and analytical skills.

  • Ability to work both independently and as part of a team.

  • Strong communication and interpersonal skills.

  • Passion for learning and staying up-to-date with technological advancements.

  • Bonus: Participation in conferences, CTFs, and personal projects.

  • Bonus: Experience or knowledge in machine learning.

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