Security Engineer - Madrid - Hybrid

As a Security Engineer, you are a builder who writes code to solve security problems at scale. We're not looking for operators who configure existing tools-we need software engineers with deep security expertise who can design and build transformational security systems for an AI-first company. You will face problems of the AI age: securing complex data flows across distributed systems, protecting AI models and training pipelines, and building governance frameworks that maintain speed while ensuring safety. You will own projects end-to-end and collaborate closely with Engineering, Data Science, and Platform teams. We are looking for candidates who are strong in at least 2 of the areas below: Security Engineering & Platform Building:

• Design and build security automation systems and platforms (not just configure existing tools)
• Build components of our Security & Governance Observability Platform to automate control monitoring, compliance, evidence collection, and governance enforcement
• Write production-quality code to solve complex security challenges at scale
• Architect solutions that balance security, performance, and developer experience

AI & Data Ecosystem Security:

• Secure complex data flows across our AI-driven platform, including data lakes, analytics infrastructure, and AI training pipelines
• Implement Data Loss Prevention (DLP) strategies for highly sensitive data at scale
• Protect AI models and datasets from adversarial attacks, data poisoning, and unauthorized access.
• Build observability and monitoring specifically for AI workloads and data operations
• Work with Data Science and ML Engineering teams to embed security into the AI lifecycle

Transformational Security Projects:

• Lead end-to-end ownership of security initiatives that fundamentally improve our security posture

• Design and implement cloud security controls for AWS environments (Kubernetes, serverless, data infrastructure)

• Build Infrastructure as Code (IaC) solutions that codify security policies across our environment

• Drive systemic risk reduction through automation, better architecture, and security-by-design thinking, * End-to-end ownership: You own your projects from design through deployment and maintenance.

• Independence with collaboration: You can work independently on large technical initiatives while collaborating effectively with cross-functional teams

• Documentation and knowledge sharing: You document your work and share knowledge to enable the team to scale

• Quality-driven: You care deeply about building systems that are secure, maintainable, and reliable

AI-First Mindset: You'll leverage AI tools daily to maximize your efficiency and impact., Our aim? Disrupting the way corporate entities operate, paving the way for the world's first AI decision intelligence platform that enables faster, simpler, and smarter decision-making across the entire value chain, aiming towards full Agentic automation of key business goals.

Do you have experience in Terraform?, * Experience: 2-4 years as a software engineer, platform engineer, or security engineer building production systems, OR equivalent demonstrated skills in building security platforms and automation.

If you have strong skills but less experience, we encourage you to apply. We value your ability to build quality software and think in systems over the years in the role. * Must-Have Skills:

• Strong systems thinking and ability to design complex technical systems that solve security problems at scale
• Software engineering mindset - You write production-quality code to build security solutions, not just script or configure existing tools
• Ability to articulate complex technical concepts clearly and lead technical conversations with engineering teams
• Data Loss Prevention (DLP) experience - You've implemented DLP strategies for sensitive data in production environments
• Cloud infrastructure security - Deep experience with any major cloud provider (we use AWS; understanding of Kubernetes, containers, and cloud-native architectures
• Experience in data-intensive environments - You understand the challenges of securing complex data flows, data lakes, or analytics infrastructure
• Coding proficiency - Language agnostic, but you write clean, maintainable code (we use Python)
• AI/ML security foundations - Basic understanding of AI model security, training pipeline risks, and data governance challenges, * Proven experience securing Kubernetes clusters in production (hardening, network policies, RBAC, runtime security)
• Hands-on experience with Terraform or Infrastructure as Code (IaC) practices
• Experience with Cloud Security Posture Management (CSPM) tools or building security automation platforms.
• Exposure to AI/ML-specific security tools, model robustness testing, or privacy-preserving techniques (differential privacy, federated learning)
• Experience building observability, monitoring, or governance platforms from scratch
• Background in offensive security (penetration testing, red teaming) or adversarial thinking.
• Certifications like AWS Certified Security - Specialty, OSCP, or CISSP

• Be part of an internationally diverse team that prioritizes security in an innovative, fast-paced environment
• Work in an AI-first company where using AI to solve problems is expected and encouraged, not discouraged
• Contribute to the development of high-quality, secure software that drives sustainable customer value
• Enjoy the flexibility of remote work, continuous growth, and dedicated training resources to support your professional development

Founded in 2020 in Munich, we are a rapidly expanding scale-up in the B2B SaaS area. We've already assembled a super innovative, smart, and fun team of 320+ highly motivated employees around our offices in Munich, Barcelona, Madrid, Cluj, and New York. At Aily Labs, we have the bold mission to democratize AI. Our groundbreaking product is an AI-powered mobile app that uses cutting-edge GenAI and traditional ML to unlock valuable business insights and give personalized recommendations.