Security Engineering Lead
Pubblicato il 15-10-2026 - Stealth Startup in Milano
About Us We are an early-stage technology company operating at the intersection of Energy and AI infrastructure, focused on developing a new generation of efficient and scalable computing infrastructure. Our approach combines distributed computing, modular infrastructure and energy efficiency to support the rapidly growing demand for AI and high-performance computing. The company is developing a new model for deploying compute capacity in a flexible and scalable way, with a strong focus on efficiency, sustainability, reliability and responsible infrastructure development. This is an opportunity to join a growing team at an early stage and contribute directly to the development of a new infrastructure platform, working at the intersection of power, data centers and advanced computing. Position Type Founding member of the Security function, initially reporting to the Head of Software Role Overview We are seeking a Security Engineering Lead to own the security posture and compliance of our self-contained, outdoor-deployable AI/HPC compute systems and the meshed clusters they form.
This is a founding security role: you will define the end-to-end security of the product and be hands‑on building it, before growing and helping lead the security function as the company scales. The role spans three connected worlds: platform and infrastructure security (a sovereign Kubernetes/Talos GPU cloud), product and system security (physical units deployed in the field), and compliance and governance (a sovereign, multi-tenant offering operating under EU regulation). We do not expect deep mastery of every security domain on day one: we are looking for someone with a holistic security vision and a proven ability to lead through security crises, excellent in at least one core domain and with the appetite and ability to grow into the others. What You Will Deliver This is a high-impact, high-ownership role. You will define how our systems protect their tenants, their data, and themselves,