About Spire: 

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 Software Engineer, you’ll work with our weather model output to build and deploy customer products and the front-end systems they’re delivered through. 
 
The Role: 

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 front-end and back-end knowledge and experience with effective use of modern AI tooling. Key responsibilities include:  

Front-end & UX:

• Design and build customer-facing applications that present weather data via interactive maps, time-series views, comparisons, and alerts. 
• Establish and maintain front-end quality through component testing, end-to-end testing, and a reusable component library or design system that keeps products consistent as they scale. 
• Collaborate closely with product management, designers, and weather scientists to define and refine requirements, rapidly prototyping to get early feedback. 
• Leverage AI coding assistants like Claude in order to build faster and test more thoroughly. 
• Scope projects with long timelines, breaking work into epics and tickets as necessary to meet deadlines. 

Back-end & Delivery: 

• Own the full vertical slice end to end, from the React UI down to the AWS infrastructure underneath. 
• Build and maintain CRUD endpoints for user data, saved views, and alert configurations, backed by a relational or NoSQL database. 
• Implement authentication and authorization: handle OIDC login flows, design role-based access control (RBAC). 
• Design clean, well-documented, and performant REST APIs with data validation and error handling. 
• Take work from prototype to production: deploy, monitor, and iterate. 

Basic Skills/Experience: 

• 5+ years building production software, with a strong front-end track record and experience deploying and operating production systems. 
• Experience designing clear, information-dense interfaces that make complex data legible and actionable. 
• Strong experience with JavaScript, React, and modern build tooling, as well as a clear sense of UX. 
• Comfortable working across the stack: Python services and REST APIs, plus working familiarity with containers (Docker), CI/CD, and deploying to AWS. 
• Experience with relational databases and schema design. 
• 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. 

Preferred Skills/Experience: 

• Familiarity with infrastructure-as-code and cloud operations: Terraform, GitHub Actions, and AWS services (S3, DynamoDB, and Lambda) 
• 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). 
• 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. 

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. _#LI-MK1