About the job
Senior Cloud Security Engineer
CYBRET AI
Remote
Norway and Europe preferred
Full-time
Early hire with equity
About CYBRET AI
At CYBRET AI, we are pioneering the development of Autonomous Security Infrastructure tailored for contemporary organizations navigating complex, distributed, cloud-native landscapes. Our mission is to transform cybersecurity from reactive, human-centric workflows to a paradigm of continuous, intelligent, and autonomous security operations. We craft systems that integrate human judgment where necessary while leveraging fully autonomous decision-making for speed, scale, and precision.
We distinctly differentiate between automation and true autonomy. Unlike traditional models that rely on static rules or rigid playbooks, our systems comprehend context, analyze attack surfaces and exposures, evaluate real-world impacts, and make risk-informed decisions. Human intervention is only required for escalations.
Our core focus is on Exposure and Vulnerability Management as a decision system, moving beyond mere reporting to understanding actual attack surfaces, plausible attack paths, business criticality, identity relationships, and trust boundaries, thus effectively countering modern threats.
As we gear up for launches on Azure, AWS, and Google Cloud Marketplace, our design philosophy remains cloud-agnostic.
About the Role
This is a prestigious and hands-on role in cloud and security engineering with substantial ownership and influence. You will play a pivotal role in designing, securing, and reasoning about cloud-native environments at scale. Your contributions will significantly shape how CYBRET AI models exposure, cloud risk, identity relationships, and attack vectors across advanced infrastructures.
You will work at the intersection of cloud architecture, security engineering, identity management, networking, and platform design, impacting both product logic and tangible security outcomes.
Responsibilities
Cloud Security Architecture
Design and evaluate secure architectures across Azure, AWS, and GCP.
Define security-first patterns for cloud-native and hybrid environments.
Assess misconfigurations, exposure, and trust boundaries across cloud services.
Identity and Access Security
Engage deeply with identity systems, IAM, permissions, service principals, and role design.
Model identity-driven attack paths and privilege escalation scenarios.
Help define secure identity and access patterns across cloud environments.
