Threat Intelligence Platform Developer (Full-Stack, AI Native)
AVORD GROUP
Location
🇺🇸 United States
Type
full_time
Salary
Undisclosed
Posted
2w ago
Job Description
Location: Fully Remote (UK only) | Type: Full-time | Sector: Cybersecurity / SaaS Are you a full-stack dev with a sharp eye for design and a mind wired for security? We’re building a next-generation Threat Intelligence Platform — and we need a developer who can do more than just push pixels or plug APIs. If you’re equally at home in React as you are in parsing Indicators of Compromise, if you live in React, dream in TypeScript, and thrive on Vibe coding with tools like Loveable.dev, Genspark, Supabase, and rich threat data — you’re already one of us. What You’ll Be Doing You’ll take a leading role in building and scaling the UI/UX and backend of our threat intelligence solution, working closely with cybersecurity experts to translate complex threat data into actionable, intuitive dashboards. You’ll own the front-to-back dev experience of a security intelligence platform powered by AI, fed by threat feeds, and shaped by user context. This is not just “another dashboard” — it’s a tactical decision engine for modern cyber teams Your Toolbox (Must-Have Skills) Frontend: Vibe-Driven Interfaces • Expert in React.js & TypeScript • UI magic using Tailwind CSS and shadcn/ui • State management mastery via TanStack Query • Chart slayer: Recharts, D3.js, or whatever lets users see the signal • Building mobile-responsive UIs that feel native • Fluency in Vibe coding — fast, modular, AI-enhanced, collaborative Backend: Supabase Native • Deep experience with Supabase — from auth to edge functions • Clean, secure RESTful APIs • PostgreSQL schema design, query optimisation, and Row-Level Security (RLS) • Authentication + authorisation AI/ML & Gensparke Integration • Practical understanding of integrating AI models into frontend workflows • Familiarity with Genspark or similar platforms for LLM-assisted dev • Experience building context-aware features using AI (threat scoring, alert triage, etc.) • Can build features that learn and adapt AI Loveable.dev Stack • Quickly generate working frontend layouts, dashboards, and flows with minimal manual setup • Build and connect simple workflows, states, or interfaces without backend coding • Generate React/Tailwind code you can extract or iterate on • Converts Figma-style layouts into functional frontends • Use AI prompts to sketch out new threat intel tools or modules visually before deep dev • Quickly create testable versions of features for stakeholder feedback • Output usable code to plug into your React stack if needed (editable by your team) • Allows product, design, or cyber SMEs to contribute ideas visually without engineering bottlenecks Security-Centric Dev Mindset • Understands the real-world language of threats, TTPs, MITRE ATT&CK, IoCs • Built tools for threat hunters, analysts, or SOCs • Comfortable aligning with NIS2 and other compliance frameworks • Can turn a threat feed into an insight — and make it look good doing it Nice-to-Have • CI/CD pipelines, cloud deployment, and DevOps awareness • Integrated with tools like MISP, VirusTotal, or threat feeds • Built webhook systems or transformed messy security data • Can write clean documentation that a SOC analyst will thank you for What We Value • You speak both developer and cybersecurity fluently • You collaborate like a pro — with engineers, analysts, and execs alike • You make complexity usable without dumbing it down • Work fast, break less • Think in components and systems • Respect the users (especially technical ones) • Can take a rough idea and prototype something brilliant in a day • See AI as a teammate, not a buzzword