Software Engineers & Platform Engineers

• Build and evolve our frontend application that serves as the primary interface for AI model training, inference execution, and results exploration. • Develop rich, interactive map-based visualizations for displaying detection results, segmentation masks, and training data coverage across large geographic areas. • Design intuitive workflows for complex geospatial operations: imagery upload and management, model configuration, inference parameterization, and results export. • Build performant UI components for browsing and interacting with large-scale imagery handling pan, zoom, and overlay rendering for high-resolution satellite and aerial data. • Work closely with backend engineers to integrate with our FastAPI services, designing responsive interfaces that communicate pipeline status, processing progress, and async job results in real time. • Contribute to our public API developer experience, building documentation portals and interactive tooling for external integrators. • Ensure the application works reliably across a variety of deployment contexts. We run our platform as SaaS, single-tenant cloud, on-premise, and on edge laptops in the field. • Strong practical experience with Vue.js and building complex, stateful single-page applications. • Solid software engineering fundamentals: HTML, CSS, TypeScript, component/integration testing, CI/CD, performance profiling, accessibility. • Experience with rendering geospatial data in the browser, working with mapping libraries (OpenLayers, Leaflet, deck.gl, ...) and understanding tile-based rendering. • Solid command of modern CSS and responsive layout for building information-dense, professional interfaces. • Experience consuming RESTful APIs and managing asynchronous state. • Strong sense for UX in technical products: you can translate complex workflows into clear, efficient interfaces without sacrificing power. • Strong sense for user interaction design related to web maps for geospatial applications. • Familiarity with geospatial concepts: geospatial math, coordinate reference systems, raster vs. vector data, GeoJSON, mapbox vector tiles, ... • Familiarity with git. • You're outcome-oriented and take pride in shipping interfaces that users genuinely enjoy working with. • Experience with WebGL, Canvas, or GPU-accelerated rendering for large image or map data. • Experience building applications for regulated or security-sensitive environments. • Background working on data-heavy dashboards, monitoring tools, or analyst workbenches. • Experience with Test-Driven Development. • Experience with 3D assets (meshes, textures, materials, shaders, ...) for web applications or 3D engines like Unity or Unreal Engine • Node.js, Vue.js, TypeScript • Docker, Kubernetes (for local dev and deployment awareness) • Own the user experience: You're building the interface through which every detection, every model, and every insight reaches the user. • Geospatial visualization at scale: Render detection results spanning continents, overlaid imagery from commercial satellites to tactical drones. • Diverse deployment challenges: Ship a single application that runs in AWS, on classified networks, or on a laptop in the field. • Strong technical culture: Work alongside ML engineers, GIS specialists, and 3D graphics engineers solving novel problems. • Competitive compensation with flexible working arrangements and personalized benefits including learning opportunities, mental wellbeing programs, and healthcare.