Our Customer: Early-stage AI cybersecurity company building an enterprise data protection platform. The product leverages machine learning and large language models to detect sensitive data risks, explain their impact, and enable security teams to take informed action.
Your tasks: * Own and develop the full-stack application used by security teams on a daily basis * Build investigation workflows, operational dashboards, and AI-driven user interfaces * Design and implement scalable backend APIs and services * Develop high-performance, data-intensive React applications * Implement real-time data flows and event-driven components * Build tools for policy configuration and exception management * Implement secure authentication, authorization, and audit logging mechanisms * Ensure high performance and scalability across the entire stack * Work closely with AI engineers to expose model outputs in clear and actionable ways
Required Experience and Skills: * 4+ years of experience delivering production web applications with end-to-end ownership * Strong expertise in React + TypeScript (complex state management, large datasets, real-time updates, drill-down analytics) * Experience designing scalable frontend architectures and working with design systems * Strong performance optimization skills in large React applications * Solid backend experience with Node.js (NestJS or similar), including API and data model design * Hands-on experience with MongoDB or other document-oriented databases (schema design, aggregation pipelines, indexing) * Experience building dashboards, operational tools, or case management systems * Comfortable working across the full stack in a small, fast-moving team * Strong product mindset and ability to translate requirements into architectural decisions * Experience in startup or fast-paced environments * Experience using AI-assisted development tools * English level: Upper-Intermediate or higher
Would be a plus: * Python experience (collaboration with AI pipelines) * Experience with Kafka, Redis, or event-driven architectures * Experience integrating structured LLM outputs into production user workflows * Background in cybersecurity, data protection, or compliance-related products * Experience with data visualization libraries (Recharts, D3.js, Plotly) * Experience with AWS or Azure cloud infrastructure * Background in enterprise SaaS / B2B products * Experience building advanced analytics dashboards with drill-down capabilities
Working conditions: * Remote work * 5-day working week, 8-hour working day
