• Develop and optimize the frontend of our modeling app, focusing on performance and user experience • Collaborate with backend teams to design and implement robust APIs that support the app's code-driven design functionality • Enhance the app's UI/UX by leveraging Typescript, React, and XState, ensuring that the interface is both powerful and easy to use • Develop delightful CodeMirror extensions that bridge the gap between the user's code and the 3d-model • Implement advanced AST/code-mods, CodeMirror enhancements, and deep integration with WebAssembly (Wasm) for performance improvements • Utilize Xstate for state management to maintain app consistency and reliability across various user interactions • Apply a deep understanding of JavaScript and browser internals to improve app functionality and performance

• Deliver reliable, high-converting monetization features (subscriptions, in-app purchases, paywalls, promos) with a consistently low rate of post-release bugs. • Implement scalable state management and data-fetching strategies that support real-time pricing, entitlements, experiments, and user segmentation. • Improve stability and performance of monetization-critical flows, reducing crashes and friction during purchase, restore, and upgrade paths. • Ensure seamless integration with backend monetization services, analytics platforms, A/B testing frameworks, and third-party SDKs (e.g. App Store / Play billing). • Keep monetization-related frontend SDKs up to date mobile platform changes—especially those affecting payments and store compliance.

• Build the IoT platform web application from scratch: device management portal, real-time monitoring dashboards, alert management interface, rule configuration UI, OTA management screen, multi-tenant admin panels • Implement real-time telemetry rendering using WebSocket and MQTT-over-WebSocket — live sensor values and alerts must update without page refresh at high concurrency • Build an interactive geospatial device map showing real-world asset locations and statuses using Mapbox GL or Leaflet • Develop time-series chart components: line charts, gauges, heat maps, bar charts, with configurable thresholds and anomaly overlays • Build the multi-tenant admin layer: tenant creation, user management, role assignment, data scope controls, and white-label capability • Implement a device onboarding wizard: step-by-step flow that abstracts protocol complexity for non-technical operators • Build a widget-based dashboard builder: drag-and-drop interface for end users to compose custom monitoring views • Build alert and rule management interfaces: visual rule builder, acknowledgement workflows, escalation chain setup, historical alert log • Build a reusable component library from Day 1 — all UI elements abstracted, no one-off components • Own frontend performance: high-frequency data streams must not cause memory leaks, frame drops, or browser crashes — implement virtualisation, throttling, and WebWorker offloading where needed • Write comprehensive tests: unit (Vitest/Jest), integration (React Testing Library), E2E (Playwright) covering all critical user journeys • Implement i18n scaffolding from the start — the platform serves MENA, South Asia, and Europe; Arabic RTL support is required • Own and maintain the frontend CI/CD pipeline: automated lint, test, build, deploy to AWS S3/CloudFront • Document all component APIs, usage patterns, and integration guides in the knowledge base

• Develop mission-critical consumer flows for new features, as well as experimenting on old ones • Partner with product and design to scope and plan work appropriately. We don’t always have the time to take the ideal route, so being able to collaborate cross-functionally and create flexible execution plans is often key • Mentoring other engineers to unlock their potential, helping them grow their skills to meet the evolving needs of Dutchie’s customers