CYBRET AI

• Design and implement AI pipelines for detection, reasoning, prioritization, and decision support • Build agent-based and workflow-driven AI systems operating over security data • Work with structured and unstructured data across logs, alerts, telemetry, and external intelligence • Collaborate on infrastructure, deployment, and scaling of AI services • Implement monitoring, evaluation metrics, and guardrails • Work closely with security domain experts to encode real-world reasoning into AI systems

• Own the overall technical architecture of the CYBRET AI platform • Make and communicate clear architectural decisions across backend, AI systems, data, and infrastructure • Ensure the platform is scalable, reliable, secure, and observable • Set engineering standards for quality, testing, and production readiness • Lead the implementation of core platform components • Ensure fast, disciplined shipping without compromising correctness or security • Balance speed and long-term maintainability in a high-growth environment • Hire, mentor, and scale a high-caliber engineering team • Build a culture of ownership, technical excellence, and accountability • Partner closely with product, AI, and security leadership • Ensure strong practices around deployment, monitoring, and incident response • Oversee cloud infrastructure, CI/CD, and operational maturity

• Define and execute the design vision of CYBRET AI • Own the end-to-end design of CYBRET’s platform, from core workflows and dashboards to advanced security and AI-driven interfaces • Build and maintain a scalable design system that supports speed, consistency, and quality • Ensure design quality across all surfaces, including web, dashboards, internal tools, and future products • Own and evolve CYBRET AI’s visual identity in close collaboration with leadership • Act as the design authority across the company • Collaborate deeply with engineers, product, and researchers • Mentor future designers as the team grows

• Lead and execute advanced research initiatives in AI-driven security • Formulate novel research questions and design experiments • Develop and validate AI algorithms for security applications • Collaborate across disciplines to advance autonomous security systems • Contribute to the technical vision and publish in top conferences/journals

Design, build, and maintain core backend services and APIs Implement scalable, secure, and well-structured backend architectures Own services end-to-end from design and implementation to production and iteration Build and operate data pipelines for security signals, exposure data, and reasoning outputs Work with distributed systems, event-driven architectures, and asynchronous processing Ensure correctness, consistency, and performance at scale Design for fault tolerance, observability, and operational excellence Implement logging, metrics, tracing, and monitoring.

• Design, build, and maintain core backend services and APIs • Develop scalable, secure, and well-architected systems • Work with distributed systems and event-driven architectures • Ensure high performance, reliability, and fault tolerance • Write clean, maintainable, and well-tested code • Own systems end-to-end from design to production • Improve observability, monitoring, and operational maturity • Contribute to architectural decisions and technical direction • Work closely with AI, security, and product teams • Translate product and security requirements into robust technical solutions • Mentor engineers and raise the overall engineering bar • Help shape engineering standards and best practices

• Design and evaluate secure architectures across cloud environments • Work with identity systems and model identity-driven attack paths • Analyze and model attack surfaces across layers • Contribute to detection logic and risk reasoning • Research cloud-focused attacker techniques and emerging exploitation patterns

• Build end-to-end product capabilities, from user-facing interfaces to backend services and data flows • Collaborate closely with product, design, AI, and security engineers to ship high-quality features from concept to production • Design and build end-to-end features across frontend, backend, and APIs • Own features from idea and implementation to deployment and iteration • Optimize performance, accessibility, and user experience • Develop and maintain backend services, APIs, and data pipelines • Ensure reliability, scalability, and security across the stack • Mentor engineers and help raise engineering standards

• Build end-to-end product features across frontend, backend, and APIs • Translate product requirements and user needs into well-designed technical solutions • Own features from concept, implementation, and deployment to iteration and improvement • Work closely with design to ensure clarity, usability, and consistency • Build interfaces for complex, data-dense security workflows • Continuously improve product ergonomics, performance, and reliability • Develop and maintain backend services, APIs, and data flows supporting the product • Work with distributed systems and modern cloud infrastructure • Ensure features are secure, observable, and production-ready • Partner closely with product, design, AI, and security teams • Contribute to product discovery and technical decision-making • Help set engineering standards and raise product quality across the company

• Help define how exposure, risk, and exploitability are modeled, analyzed, and acted upon • Work across cloud security, identity, network security, detection engineering, and security architecture • Design and improve how CYBRET AI models attack surfaces across cloud, identity, network, and application layers • Identify real-world attack paths and exploit chains rather than theoretical vulnerabilities • Develop risk scoring and prioritization beyond CVSS • Incorporate exploitability, exposure, identity context, and business impact into decision-making • Design and evaluate security controls across Azure, AWS, and GCP • Contribute to detection logic, correlation, and multi-signal reasoning • Design and assess secure network architectures including private networking, segmentation, and zero-trust principles • Track attacker techniques, emerging threats, and exploitation patterns