Full Stack (React/NodeJS) Engineer

We’re looking for an experienced Full Stack (React/NodeJS) Engineer to build the application that provides visibility and control over an intelligent data protection platform. You’ll create the interface that lets security teams understand, monitor, and manage how AI system enhances their data security — from reviewing AI decisions to tracking accuracy improvements to managing policy exceptions.

Working alongside AI engineers, security architects, and LLM experts, you’ll build the mission-critical application that empowers organizations with complete visibility and control over an intelligent data protection system.

Requirements

• 4+ years of full-stack development experience building production web applications;
• Strong expertise in React and TypeScript for building modern, responsive UIs;
• Backend proficiency with Node.js (NestJS, Express, or similar frameworks);
• Experience working with SQL and/or NoSQL databases;
• Experience building real-time dashboards and data visualization interfaces;
• Experience integrating with REST APIs;
• Ability to design intuitive interfaces for complex data and decision workflows;
• Strong communication skills and comfort working in a fast-paced startup environment.
  
  

Nice To Have

• Experience with Python for building services and APIs;
• Experience building observability or monitoring platforms;
• Familiarity with cybersecurity concepts or building security tools;
• Experience with data visualization libraries (Recharts, D3.js, Plotly);
• Experience with message queues (Redis, RabbitMQ, BullMQ) for async processing;
• Experience with AWS/Azure cloud infrastructure;
• Background working with enterprise SaaS applications or B2B products;
• Experience building analytics dashboards with drill-down capabilities;
• Understanding of organizational data protection systems;
• Prior work on applications that provide visibility into AI systems.
  
  

Responsibilities

• Build the full-stack application that provides visibility into our intelligent, context-aware data protection platform;
• Design and develop robust backend APIs and services to power the application layer;
• Create intuitive dashboards showing how our AI improves data security accuracy;
• Build management tools for policy exceptions;
• Design database schemas and optimize queries for performance and scalability;
• Implement real-time data processing pipelines and event-driven architectures;
• Integrate with enterprise data protection systems and external security tools;
• Build authentication, authorization, and audit logging systems that meet enterprise security standards.
  
  

Our Benefits

• Professional and career growth promotion;
• Competitive salary;
• Paid vacations and sick leaves;
• Internal Medical Program;
• Program for veterans (which includes mentorship, an accessible office for individuals with disabilities, legal support, and additional benefits);
• Flexible working hours;
• Regular corporate social activities;
• Regular technical training at our office;
• English courses;
• Gym, etc.