Salary: 60.000 - 98.000 € per year Requirements: Proficiency in software engineering with one or more general-purpose programming languages (e.g., Python, Go, or similar) 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 collaborate closely with engineering teams, supporting them throughout the Software Development Lifecycle (SDLC) A passion for information security and an interest in staying ahead of evolving threats, particularly those targeting AI systems Deep technical knowledge in one or more areas: - Cloud and networking security - Web application security - Mobile security - Security challenges unique to AI-driven products and data governance Strong understanding of microservice architectures and working with scalable software in the cloud A keen ability to identify flaws in software and effectively communicate practical solutions Familiarity with 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 The ability to balance security risks with the need for product innovation and advancement Responsibilities: Apply your knowledge of security architecture to help software engineers build secure products and services across a diverse technology stack, including microservices, mobile applications, and cutting-edge AI-driven solutions Collaborate closely with engineering teams to understand their 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 Use your penetration testing skills to assess and strengthen the security of internal and external applications and services, including AI-powered features and traditional systems Develop 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 Educate engineering teams and security champions on secure coding and development practices, including security considerations unique to AI and data governance Enable engineering teams to identify and remediate vulnerabilities before they reach production, with a focus on both general application security and AI-specific risks Perform reactive incident response if a security event occurs Conduct proactive research to detect new attack vectors, including those targeting AI technologies, data pipelines, and LLM-based systems Technologies: AI Cloud Embedded Support LLM Mobile OWASP Python Security Web microservices REST More: We are seeking a Product Security Engineer to empower our engineering teams to design and build secure software across our diverse product portfolio at N26. Our Product Security team is part of the Security Engineering Segment, working to uphold our security standards by embedding security into every stage of the product lifecycle. We offer a high degree of autonomy and access to cutting-edge technologies while fostering a collaborative and inclusive environment. With our headquarters in Berlin and offices in multiple cities across Europe, we provide numerous employee benefits, including a competitive personal development budget and flexible remote work options. last updated 11 week of 2026