Full Stack Developer

Drones that think for themselves. Not pre-programmed routes—true autonomy where aircraft make intelligent decisions onboard, adapting to weather, obstacles, and airspace in real-time without human intervention.

We're building weather-aware flight optimization that delivers outcome-driven autonomy for the real world—increasing mission success by extending range, endurance, safety, and reliability.

You'll build the simulation engine that makes this possible.

You'll join as a founding engineer on our product stack, owning the frontend experience that puts autonomous flight intelligence in the hands of operators. Working closely with our CTO and core backend engineers, you'll build the interfaces, data visualizations, and tooling that turn complex flight data into decisions operators can actually trust—and ship the infrastructure that gets everyone's code out reliably.

This isn't a UI layer bolted onto a backend. The frontend at Shearwater is where 3D geospatial rendering, real-time weather data, live aircraft state, and mission planning converge. What you build directly shapes how operators perceive and act on autonomous flight systems in the real world.

• Ship new product features end-to-end — from Vue component to GCP deployment — working across the stack as needed
• Own and evolve our 3D geospatial experience using Cesium
  
  JS: flight paths, terrain, airspace, and weather overlays rendered in real time
• Build, maintain, and improve CI/CD pipelines (Git Hub Actions, Firebase Hosting, Cloud Run) and contribute to infrastructure-as-code (Terraform)
• Support core backend engineers in getting their work to production — integrating APIs, managing deployment environments, and keeping the pipeline healthy
• Define frontend architecture standards: component design, state management patterns, TypeScript discipline, and performance practices
• Integrate live and forecast data streams — weather, aircraft telemetry, airspace — into responsive, high-performance interfaces

Why this matters: Operators make go/no-go decisions based on what they see on screen. The quality of your frontend work directly determines whether our autonomy stack gets trusted and deployed — or grounded.

You ship features, not prototypes. You've built production interfaces that real users depended on — and you know the difference between something that demos well and something that holds up under real-world load and edge cases. You write Vue components others want to maintain.

You own the full delivery path. You're not waiting for someone else to figure out deployment. You understand how your code gets from a branch to production, and you've owned CI/CD pipelines that kept a team moving fast without breaking things.

You care about what the data means, not just how it renders. Whether it's a flight trajectory, a weather envelope, or a live aircraft position — you think about how to communicate complex spatial information clearly and correctly. Experience with geospatial or real-time data is a significant differentiator here.

Your TypeScript is non-negotiable. You use types to express intent, catch errors early, and make systems easier to reason about. You don't fight the type system — you lean on it.

You're comfortable with ambiguity. Product requirements evolve fast at a deep-tech startup. You ask sharp questions, propose solutions, and deliver incrementally rather than waiting for a perfect spec.

Frontend — this is your home base:

• Strong Vue 3 with Composition API and — you know the reactivity model, not just the syntax
• TypeScript throughout — strong typing as a practice, not an afterthought
• Component architecture that scales: reusable, testable, well-interfaced
• State management with Pinia, build tooling with Vite
• Performance-aware development: you understand what causes re-renders, bundle bloat, and rendering bottlenecks

Geospatial & visualization — a strong differentiator:

• Experience with Cesium
  
  JS or comparable 3D geospatial frameworks (Mapbox GL, Deck.gl, Three.js)
• Comfort rendering and manipulating spatial data: coordinates,…