Full-Stack Weather Software Engineer

Spire•Boulder, CO

12h•$130,500 - $171,000•Hybrid

About The Position

Spire Global runs the world’s largest multi-purpose satellite constellation, streaming real-time weather and Earth-observation data. Our Weather division fuses AI and NWP forecasts — initialized with Spire’s proprietary observational data — to build mission-critical products for customers across energy trading, utilities, agriculture, and other industries. As a Full-Stack Weather Software Engineer, you’ll work with our weather model output to build and deploy customer products and the frontend systems they’re delivered through. This role sits at the intersection of weather science, geophysical sensing, cloud engineering, and modern AI tooling, building operational products that customers depend on every day. We’re looking for engineers who combine strong frontend skills, weather domain knowledge, and effective use of modern AI tooling.

Requirements

3+ years building production software, with a strong frontend track record and experience deploying and operating production systems.
Strong frontend skills: React, TypeScript, modern build tooling (Vite, Next.js, or similar), and a clear sense of UX for data-dense interfaces.
Comfort across the stack and cloud: Python services, REST/GraphQL APIs, containerization, CI/CD, and AWS (Lambda, ECS/EKS, S3, Step Functions), Docker, Terraform, GitHub Actions.
Strong knowledge of weather models — both NWP (GFS, ECMWF, HRRR, WRF) and modern AI forecasters (GraphCast, Pangu-Weather, FourCastNet, AIFS) — and the major observational data sources (satellite, radar, surface, radio occultation).
Strong working knowledge of the software stack for weather and geophysical data: GRIB2, NetCDF, Zarr, and the Pangeo ecosystem (xarray, Dask). You communicate fluently with scientists.
Day-to-day fluency with agentic coding tools such as Claude Code or Codex. You can speak concretely about how you use them, what you delegate, and where they fit in your workflow.

Responsibilities

Design and build the customer-facing dashboards and applications that present forecasts, NWP outputs, and AI model outputs through interactive maps, time-series views, comparisons, and alerts.
Own the full vertical slice: React/TypeScript on the frontend, Python services and APIs on the backend, AWS infrastructure underneath.
Take work from prototype to production: deploy, monitor, and iterate.
Build and deploy operational weather products from model output for customers in energy trading, utilities, agriculture, and other industries.
Collaborate with scientists, designers, and product managers to bring research and model output into production products.