We’re working with a Series A–backed company operating at the intersection of AI and cybersecurity, focused on enterprise-scale vulnerability management. Already partnering with large global enterprises and Fortune 100 design partners, the business is gaining strong market traction in a highly security-critical domain.
Their core product is an AI-agent–led platform that automates expert security workflows, helping organisations identify and reduce risk before vulnerabilities turn into breaches. The company is scaling quickly, with a clear need to build robust, high-performance infrastructure to support continued growth.
You’ll build the data engine behind an AI-native cybersecurity platform, owning the end-to-end data lifecycle from ingestion through to processing and storage. The role involves designing and operating production-grade data systems capable of handling massive volumes of enterprise security data in minutes, not hours.
This is a hands-on engineering role focused on solving hard problems around scale, performance, and reliability as the platform expands across complex, large-scale enterprise environments. You’ll have meaningful ownership over system design and play a key role in shaping how the data platform evolves as the company grows.
For more information, connect with our specialised team member on LinkedIn
Talent Consultant
Amsterdam-based Data and AI recruiter building high-performance engineering teams.