Senior Product Security Engineer

Drive the product security strategy and empower engineering teams to design and build secure software across a diverse product portfolio. Lead the integration of advanced security practices into cutting-edge technologies such as Generative AI (GenAI), Large Language Models (LLM), and data governance systems, while ensuring the security of microservice architecture and mobile applications.

What you'll do

• Independently apply advanced knowledge of security architecture to guide software engineers in building secure products and services across a diverse technology stack, including microservices, mobile applications, and cutting-edge AI-driven solutions.
• Serve as a technical leader and mentor, collaborating closely with engineering teams to understand and address their complex application security needs, including those related to emerging technologies like Generative AI (GenAI) and Large Language Models (LLM).
• Perform application security design reviews, threat modeling, and code reviews, ensuring security principles are embedded in every stage of the development lifecycle.
• Utilize expert penetration testing skills to assess and strengthen the security of internal and external applications and services, including AI-powered features and traditional systems.
• Independently develop advanced tooling to support the Secure Software Development Lifecycle (SSDLC) and other security initiatives across diverse product environments.
• Build automation frameworks to enable engineering teams to deliver secure features efficiently, whether for AI solutions or traditional applications.
• Mentor and educate engineering teams and security champions on secure coding and development practices, including security considerations unique to AI and data governance.

What you'll need

• Expertise in software engineering with one or more general-purpose programming languages (e.g., Python, Go, or similar).
• Extensive experience with threat modeling, security testing, and analyzing applications, including those involving emerging technologies like Generative AI (GenAI) and Large Language Models (LLM).
• Prior experience in building automation to support the Secure Software Development Lifecycle (SSDLC).
• Proven ability to lead and mentor engineering teams, supporting them throughout the Software Development Lifecycle (SDLC).
• Deep technical knowledge in cloud and networking security, web application security, mobile security, and security challenges unique to AI-driven products and data governance.
• Strong understanding of microservice architectures and working with scalable software in the cloud.
• Expertise in static/dynamic code analysis, fuzzing, and other techniques to identify security vulnerabilities.
• Solid knowledge of secure coding best practices and security standards, including the OWASP Top 10.

What they offer

• Competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation.
• Dedicated day of teamwork in office each week, plus another day of your choice, with flexibility for remote work.
• Premium N26 bank account subscription and subscriptions for friends and family members.
• Additional day of annual leave for each year of service.
• Relocation package with visa support.