Company Overview Atreides helps organizations transform large and complex multi-modal datasets into information-rich geo-spatial data subscriptions that can be used across a wide spectrum of use cases. Currently, Atreides focuses on providing high-fidelity data solutions to enable customers to derive insights quickly. We are a fast-moving, high-performance startup. We value a diverse team and believe inclusion drives better performance. We trust our team with autonomy, believing it leads to better results and job satisfaction. With a mission-driven mindset and entrepreneurial spirit, we are building something new and helping unlock the power of massive-scale data to make the world safer, stronger, and more prosperous. Team Overview We are a passionate team of technologists, data scientists, and analysts with backgrounds in operational intelligence, law enforcement, large multinationals, and cybersecurity operations. We obsess about designing products that will change the way global companies, governments and nonprofits protect themselves from external threats and global adversaries. At Atreides, we believe that teams work best when they: Remain curious and passionate in all aspects of our work Promote clear, direct, and transparent communication Embrace the 'measure twice, cut once' philosophy Value and encourage diverse ideas and technologies Lead with empathy in all interactions Position Overview We are hiring a Software Engineer on the Analyst Platform team to help build the data visualization surface where operators and analysts make sense of Atreides data—the place where multi-domain telemetry becomes a map they can explore, compare, and act on. This is a frontend-leaning role. We are looking for someone who is comfortable in TypeScript and a modern web frontend, and who already has hands-on experience with both maps and data visualization—in any combination, from any direction. A school project, a hobby tile server, a published dashboard, a deck.gl side project, work as a GIS analyst who started writing code, or production frontend experience at a mapping-adjacent company all count. You will work alongside senior engineers who are explicit about mentorship, pairing, and sharing what they know. Many engineers at Atreides describe themselves as Multi-Stack rather than Full-Stack because we move between frontend, backend, data, and mapping surfaces as the problem demands; this role starts on the frontend, with a clear path toward broader range. The role is deliberately accessible: we welcome recent graduates, career changers from geography, earth sciences, cartography, remote sensing, or intelligence backgrounds, and strong self-taught engineers with portfolios that speak for themselves. We care more about what you have already shipped on maps and visualizations than about how many years you have been shipping. This role is remote within Canada. Candidates must be Canadian citizens or permanent residents currently residing in Canada. Applications from outside Canada will not be considered. Responsibilities Pair with senior engineers on the visualization surface of the Atreides Analyst Platform, building and maintaining components that turn multi-domain telemetry—entities, trajectories, geofences, sensor footprints, heatmaps, time-series animations, before/after comparisons—into things operators and analysts can read at a glance. The stack includes MapLibre GL JS or Mapbox GL JS as the base map, deck.gl for high-performance data layers, turf.js for client-side spatial operations, and D3.js or Plotly for the non-map charts that sit beside the map. Work with the APIs that the Platform Engineering team owns to pull the data your visualizations need—understanding enough about the lakehouse beneath (Apache Sedona, DuckDB, StarRocks, Apache Arrow, Iceberg with H3 indexing, tiles served via Martin and PMTiles) to ask the right questions and request the right shapes, even if you do not own those pipelines yourself. Work with open geospatial data sources such as OpenStreetMap, Overture Maps Foundation, Foursquare—alongside commercial feeds, and develop a point of view on when each is appropriate. Thoughtfully integrate AI into your engineering workflow; our interview process will include a discussion of how you use AI to learn, prototype, and ship. Write clean, tested code, review your teammates’ pull requests, and ask the questions the senior engineers wish they had asked. Collaborate closely with analysts, data engineers, and designers, including visits to customer watch floors where possible, to translate real operator needs into shipped capability. Desired Qualifications Demonstrable fluency in TypeScript and a modern web framework (React, Svelte, Vue), with a portfolio or shipped work to point to. Professional, academic, hobby, or open-source evidence is all equally welcome. Demonstrable hands-on experience with maps and data visualization. We weight what you have shipped over how many years you have been shipping it, and we want to see both halves represented. Examples that count: a deck.gl or kepler.gl project, a turf.js plugin, a published map or atlas, a custom dashboard with D3.js or Plotly, a hobby tile server, work as a GIS analyst who learned to code, or production frontend work at a mapping-adjacent company. A Bachelor’s (or in-progress final year) in Computer Science, Software Engineering, GIS, Geography, Earth Sciences, or a related field; equivalent bootcamp or self-taught experience with a strong portfolio is equally welcome. Working familiarity with geospatial fundamentals—coordinate systems, projections, spatial indexing (H3 is the one you will see most at Atreides), common data formats (GeoJSON, vector tiles, PMTiles), and why a Mercator projection distorts the Arctic. Curiosity about the open geospatial ecosystem—OpenStreetMap, Overture Maps Foundation, OpenAddresses—and a willingness to form a point of view on open versus commercial sources over time. Strong written and verbal communication in English, and the willingness to ask the question you think might be too basic because the worst case is it turns out not to be. A thoughtful approach to using AI in your engineering workflow; we will discuss how you use AI to learn and to code. Bonus: contributions to an open-source mapping or geospatial project, a data visualization or cartography side project you can talk about (a map, a dashboard, an explainer), a background as an analyst or GIS practitioner, or any existing Canadian security clearance. Compensation and Benefits Comprehensive health, dental, and vision insurance plans Flexible remote work environment Additional benefits like flexible hours, work travel opportunities, competitive vacation time and parental leave While meeting all of these criteria would be ideal, we understand that some candidates may meet most, but not all. If you're passionate, curious and ready to "work smart and get things done," we'd love to hear from you. #J-18808-Ljbffr