Sr. UI Engineer - AI Detection and Response (AIDR) (Hybrid)

About the role

CrowdStrike is seeking an experienced UI Engineer to join our AI Detection and Response (AIDR) team. In this role, you will design and build the next generation of user interfaces that surface AI security insights from a platform processing millions of events per second across petabytes of critical data. You'll work at the intersection of cutting-edge AI security and modern web development, creating experiences that empower security teams worldwide to detect and respond to sophisticated AI-based threats. This is an opportunity to make a direct and visible impact - the interfaces you build will be used 24/7 by security professionals protecting organizations from the most advanced adversaries. PLEASE NOTE: This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations. Success Means: Architect enterprise grade solutions that scale seamlessly from thousands to millions of requests per second Building reusable platform libraries that accelerate development across multiple engineering teams Drive operational excellence through rapid issue resolution, thorough root cause analysis, and proactive system improvements Collaborating effectively across engineering teams to drive testing best practices Deliver with velocity while maintaining highest standards of security and reliability What You'll Do: Design and build high-performance, single-page web applications in JavaScript (Ember.js) that visualize and surface AI security detections, alerts, and response workflows at massive scale Own features end-to-end - from collaborating with UX designers and product managers on requirements through implementation, testing, and delivery Build reusable UI components and shared libraries that accelerate development across the AIDR product group Integrate with AIDR's cloud-native backend services and APIs (REST, gRPC) to deliver real-time data experiences Participate in code and design reviews with a focus on performance, accessibility, testability, and security Write comprehensive automated tests to ensure reliability and accuracy of UI features Troubleshoot and resolve production issues responsively, contributing to root cause analysis and preventive improvements Mentor team members on UI best practices, testing methodologies, and accessible interface development Continually learn about the evolving challenges of AI security and the cybersecurity landscape What You'll Need: 5+ years of professional experience building high-quality, production web application UIs Strong proficiency in JavaScript and experience with modern frameworks such as Ember.js, React, Angular, or Vue (Ember experience is a plus; we'll help you get up to speed) Strong HTML & CSS skills, including experience with pre/post-processors (Sass, PostCSS) and CSS frameworks like Tailwind CSS Experience integrating UI applications with REST or gRPC APIs and working with real-time or high-volume data Experience with testing frameworks and methodologies such as QUnit, Mocha, or Jest Knowledge of and interest in developing genuinely accessible interfaces Comfortable with Git or similar version control systems and workflows Strong computer science fundamentals and ability to troubleshoot complex frontend issues A collaborative mindset and desire to work closely with engineers, designers, researchers, and product managers to deliver quality software Bonus Points: Experience with data visualization libraries such as D3.js or Three.js - particularly for security dashboards or real-time event streams Familiarity with client-side build tools (Ember CLI, Webpack, Vite, etc.) Experience with UI performance measurement, profiling, and optimization Experience with web accessibility testing and support Familiarity with cloud environments such as AWS, GCP, OCI, or Azure Prior experience in cybersecurity or security-focused products Prior experience building enterprise SaaS products Experience with real-time data systems (Kafka, Pulsar) from a UI integration perspe