Lorasis is building the cybersecurity Trust Operating System: a governed layer designed to help organisations decide whether consequential machine actions should proceed within defined boundaries, then make what was intended, authorised, executed, and observed independently verifiable. We grow by giving experienced people better tools while keeping judgment, accountability, and quality standards human. Converging means bringing engineering, security, and talent together at the point where difficult problems get solved.

We believe sustainable growth comes from genuine value and long-term customer trust, not short-term pressure that burns people out and loses customers. Uncompromised quality We use AI to reduce busywork across research, context gathering, implementation, testing, and coordination. This includes Linux kernel, eBPF, and XDP instrumentation for evidence of execution: establishing the difference between what a system was asked to do and what actually ran.

We are looking for someone capable of multiplying a very small team through deep systems expertise and practical AI-assisted engineering. Own Linux kernel, eBPF, and XDP instrumentation feeding evidence of execution into lorasis-agent.

- Capture reliable runtime evidence about processes, files, network activity, and other relevant system actions.
- Design and operate complete AI-assisted development workflows from specification to code, testing, review, and pull request.




- Ensure those workflows produce real, reviewable kernel and eBPF engineering output, not isolated demonstrations or prompt theatre.
- Target RHEL, Container-Optimized OS, and GKE-class environments across our initial lab and deployment paths.
- Lead technical design reviews, investigate difficult systems failures, and raise the quality bar for privileged code.
- Respect open-source licences, software provenance, and third-party intellectual property. Deep, hands-on Linux kernel engineering experience.
- Experience packaging and operating privileged Linux components using technologies such as RPM and systemd.
- Experience building complete AI-assisted engineering workflows covering specification, implementation, testing, review, and pull requests.
- The autonomy and communication skills required to operate effectively inside a small, senior technical team. Vulnerability research, exploit analysis, malware or rootkit analysis, or kernel attack-surface research.
- Rust, systems-level C, and experience working across FFI boundaries.
- Contributions to or maintainership of kernel observability, eBPF, or security open-source projects.
- Apply through LinkedIn with a short note describing your most relevant work across Linux kernel engineering, eBPF, XDP, trusted computing, AI-assisted development, or threat research. Madrid, Spain · Globally remote

📌 Senior Engineering Manager (Remote) (Madrid)
🏢 Lorasis
📍 Madrid