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Type: Full-Time
See everything. Defend what matters.
Dominion Dynamics is building tomorrow’s technology today: sovereign, next-generation defence systems for the harshest environments on Earth.
We’re delivering a software-defined command and control capability that lets Canada and its allies see, respond, and defend across every domain, starting in the Arctic, where extreme cold demands technology no one else can deliver.
From prototype to deployment in months, we move fast, co-develop with operators, innovate at the edge, and test in our North.
Our founding team includes veterans from Anduril, Google, Amazon, and the Canadian Armed Forces. We’re building hard tech in hard places, and we're looking for system-level thinkers who thrive at the intersection of autonomy, aerospace, and national security..
Clear, accurate geospatial telemetry is essential for operator decision-making and mission coordination across remote areas. This role turns high-volume telemetry into intuitive, high-performance map surfaces and spatial analysis tools; by doing so it improves situational awareness and shortens the decision loop in operational contexts.
You will lead the design and delivery of telemetry mapping systems that transform raw sensor and vehicle streams into performant, interactive map layers and analytics; this builder/operator role spans front-end visualization, back-end geospatial processing, and integration with real-time telemetry sources.
Build and maintain front-end map visualizations and dashboards using JavaScript/TypeScript and relevant mapping frameworks.
Implement back-end services and data pipelines in Python to ingest, normalize, and serve geospatial telemetry.
Design efficient telemetry storage and query patterns that support low-latency map updates and time-series playback.
Implement spatial analytics, clustering, and filtering to surface operator-relevant insights.
Surface telemetry to Android operator apps or ATAK plugins when required.
Ensure robust, fault-tolerant integration between telemetry sources and map layers; handle intermittent/lossy links gracefully.
Write tests, CI/CD pipelines, and performance benchmarks for map rendering and data-serving components.
Collaborate with embedded systems, and UX teams to define interfaces and refine operational workflows.
Support field deployments and iterate on visualization behaviours based on operator feedback.
Bachelor’s or Master’s in Computer Science, GIS, Software Engineering, or equivalent practical experience.
Senior: 5+ years; Mid: 2-4 years of experience.
Strong production experience with JavaScript/TypeScript and front-end map technologies; practical Python experience for back-end services.
Familiarity with spatial data formats, time-series telemetry, and server-side processing; working knowledge of R is a plus for analytics.
Experience designing low-latency data pipelines and optimizing map rendering for high-volume streams.
Proven ability to integrate closely with hardware and embedded teams; pragmatic in-field troubleshooting experience preferred.
Collaborative, mission-focused thinker; able to translate operator needs into clean, performant interfaces.
Eligibility for Canadian security clearance preferred; Canadian citizenship an asset.
No defence background required.
We've hired people who didn't tick every box. If this is the work you want to do, please apply anyway.
Building something meaningful starts with the right people.
At Dominion Dynamics, you’ll:
Shape Canada’s future by building real defence capability for the CAF and our allies.
Make decisions that ship in a high-trust environment with short feedback loops and rapid iteration.
Move fast, field faster, and work directly with the operator — our systems are in the field with the CAF now.
Have an impact from day one with equity, responsibility, and direct access to leadership.
If you’re curious, hands-on, and driven by the opportunity to make a difference, this is where you belong!
Competitive base salary and company equity
Comprehensive health benefits
Additional equity granted based on impact
We use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada.
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