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Application Security Engineer (f/m/d)

CompraTica Empleos

EMP:Technology
Berlin, Berlin
Tiempo Completo
Remoto
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Descripción

<p><strong>Purpose of Position</strong></p> <p>Your role is to establish and lead an AppSec program within the Product and Technology department, acting as an evangelist for AppSec, trusted by engineers and managers alike.

</p> <p>As a member of the core security team, you will engage in assessing application design proposals, to identify improvements to enable our engineers to create secure products.

</p> <p>You will own the existing training program, redesign it to better equip engineers with the knowledge needed to develop secure applications, and create a Security Champions program to scale and embed a DevSecOps mindset across P&T.

 </p> <p> </p> <p><strong>What you'll be responsible for</strong></p> <ul> <li><strong>Secure the SDLC</strong>: Integrate security tooling (e.

SAST, DAST, dependency scanning) into CI/CD pipelines and IDEs.

Automate and optimise checks so teams can identify and fix issues early and efficiently.

</li> <li><strong>Threat modelling & secure design</strong>: Collaborate with product and engineering teams during the design phase to conduct threat modelling sessions and pre-implementation security reviews.

</li> <li><strong>Code & architecture reviews</strong>: Guide developers on secure coding practices, perform targeted code reviews, and help resolve vulnerabilities with actionable remediation support.

</li> <li><strong>Vulnerability lifecycle management</strong>: <ul> <li>Identify, triage, track and report on vulnerabilities across internal and external apps and systems.

</li> <li>Collaborate with engineers to close gaps efficiently.

</li> <li>Support the bug bounty process with finding validation.

</li> <li>Present vulnerability management reports to our heads of department.

</li> </ul> </li> <li><strong>AI/ML & LLM security</strong>: <ul> <li>Provide guidance on secure development of AI/LLM-powered features.

</li> <li>Help teams manage risks such as prompt injection, model misuse, and data leakage.

</li> <li>Lead t.

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