Mandatory step : I n order to proceed further, Please take the test first :
https : / / docs.google.com / document / d / 1D8HQbbu-NcdrkE5bLxaXVZkskXWt2bjh / edit?usp=sharing&ouid=110344943628786127496&rtpof=true&sd=true
CloudMatos is building the next generation of cloud-native security and posture management tools — blending AI / ML, GenAI, and modern full-stack engineering to help Managed Service Providers (MSPs) and enterprises secure their AWS environments faster and smarter.
We’re at an early stage : our platform is deployed, the foundations are built, and now we need builders — pragmatic engineers who ship quickly, break things safely, and love turning complex security concepts into usable, modern products.
Role Overview
We are looking for a Lead Full-Stack / AI Security Engineer who can own end-to-end delivery :
- Architect & implement cloud security detections for AWS.
- Build GenAI-powered explain & remediate workflows for misconfigurations.
- Design and deliver slick, modern, production-lean UIs .
- Move fast, iterate aggressively, and set the engineering culture.
Responsibilities
Cloud Security : Implement and extend posture detection rules across AWS services (S3, EC2, IAM, RDS, Security Groups, etc.).AI / ML Security : Build GenAI-based modules that explain findings in natural language and propose clear, actionable remediation steps .Full-Stack Development : Deliver APIs (Python / Node / Go) + Next.js / React frontends with filters, dashboards, and rich interactions.UI / UX Ownership : Ensure frontends are slick, fast, responsive, accessible , and designed for security operators (dark mode, dashboards, side panels, etc.).Dev Practices : Maintain code quality with unit tests, CI / CD, and lightweight documentation.Agility : Ship weekly increments, not months-long perfection.Required Skills
Cloud Security (AWS) : Strong knowledge of AWS misconfigurations (public S3, open SGs, IAM key rotation, RDS / KMS encryption, IAM role attachment).Generative AI / LLMs : Experience designing prompt-driven explainers, structured output generation, or retrieval-augmented patterns for security use cases.Backend Engineering : Node.js (TypeScript), Go, or Python; REST APIs; schema design; auth patterns; pagination / filtering.Frontend Development : React / Next.js; TypeScript; Tailwind / shadcn / ui; data tables; state management; dashboards.UI / UX Awareness : Ability to design polished, usable, and accessible interfaces with micro-interactions, skeleton states, and dark mode.Quality & Security : Unit testing, secure coding, structured logging, error handling.