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Security Engineer

💼 Full-time🗓 2026-06-24

Core

Build and maintain a strong security foundation across systems, including emerging AI/ML pipelines, ensuring protection of platform, users, and data.

Role type

Security Engineer (AI/ML focus)

Builds

Secure applications, infrastructure, and AI/ML pipelines for Catawiki

Domain

E-commerce / Cloud Security / AI Security

Deliverable

production ML models | product features | infrastructure

Required skills

Ruby, Python, secure code reviews, threat modeling, cryptography, encryption, secrets management, key management, OWASP/SANS vulnerabilities, SDLC security integration, CI/CD security, IaC security

Preferred skills

AI/ML security principles, risk navigation in data pipelines, scalable mitigation design, security automation

Technologies

Ruby, Python, CI/CD, IaC, cloud-native environments

Responsibilities

Identify and remediate security vulnerabilities across applications, infrastructure, and AI/ML pipelines; Conduct secure code reviews, threat modeling, and security assessments; Implement secure storage, encryption, and key management solutions; Define and enforce security policies throughout the SDLC; Integrate security into CI/CD pipelines and infrastructure-as-code; Participate in incident response and triage; Raise security awareness through guidance and training; Contribute to long-term security strategy and threat evaluation

Seniority

Mid-level, hands-on IC

Rewrite
## About the Role and Team As a Security Engineer, you'll join our Security function and work closely with Platform Engineers, development teams, Legal, IT, Trust & Safety teams to ensure the protection of our platform, our users, and their data. You'll help build and maintain a strong security foundation across our systems — including our emerging use of AI — making security a natural part of how we design, build, and operate at scale. In this role, you'll operate in a highly collaborative, engineering-driven environment where security is a shared responsibility. You'll combine hands-on technical work with cross-functional partnership, enabling secure product development, guiding teams through best practices, and helping Catawiki maintain user trust while continuing to grow securely and responsibly in an AI-enhanced environment. ## What You'll Do - Identify, assess, and remediate security vulnerabilities across applications, infrastructure, internal services, and AI/ML pipelines. - Conduct secure code reviews, threat modeling, and security assessments for new features, architectural changes and legacy components. - Implement and maintain secure storage mechanisms, encryption practices, secrets management, and key management solutions. - Define, document, and enforce security policies, standards, and best practices throughout the software development lifecycle (SDLC), including AI-related data handling and model governance. - Collaborate closely with Platform Engineers to integrate security into CI/CD pipelines, infrastructure-as-code, runtime environments. - Work with Legal, IT, Trust & Safety teams to ensure compliance, support investigations, manage security requirements. - Participate in incident response — investigate security events, triage issues, support remediation, and strengthen preventive controls. - Raise security awareness across the company by providing guidance, training, and proactive support for secure development, AI safety, and system design. - Contribute to long-term security strategy by evaluating emerging threats — including those involving AI — identifying opportunities for automation, and recommending new tools or processes. ## Who You Are - You have development experience in Ruby, Python, or a similar language, and you're comfortable reviewing and contributing to backend codebases. - You bring 3+ years of hands-on security engineering experience, ideally in a cloud-based or high-traffic environment. - You understand application, infrastructure, and AI/ML security principles, and you can navigate risk within data pipelines and model-driven systems. - You have strong knowledge of secure coding practices and common vulnerabilities (OWASP, SANS) across both traditional and AI-enabled services. - You're experienced with secure code reviews, threat modeling, and designing practical and scalable mitigations. - You have a solid understanding of cryptography, encryption, key management, secrets handling, and secure data storage. - You're familiar with integrating security into modern SDLC practices — including pipelines, IaC, cloud-native environments, and emerging AI workflows. - You communicate clearly and collaborate effectively with engineering and non-engineering teams. - You're proactive, curious, and comfortable driving initiatives that strengthen our long-term security posture.
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