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# Full-Stack Weather Software Engineer

- **Company:** Spire Inc.
- **Location:** Boulder, CO, United States
- **Experience:** Experienced
- **Salary:** $130,500.0 - $171,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Continuous Integration, Github, Python (Programming Language), NetCDF, Next.js, TypeScript, ReactJS, Claude Code, Backend, Agentic-AI, Build Management, Containerization, Webpack, Dask, Graphql, Front End Software Development, Terraform, Docker
- **Published:** October 31, 2026
- **Apply:** https://www.juju.com/job/1_984B8746EA934364AC17DA78BEEFA9BC-CO844768663985274

## About the Role

Customer Products - 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. **Basic Skills/Qualifications:** Engineering Focus - 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.
Weather & Geophysical Domain Focus - 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. - AI-Assisted Engineering - 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. - 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. - AI-Assisted Engineering - Day-to-day fluency with agentic coding tools such as Claude Code or Codex.

## Description

Full Stack & Delivery - 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.