AWIPS Application Developer

Job Description

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WSP is looking for an AWIPS Application Developer who wants to work at the intersection of cutting‑edge technology and real‑world impact.

In this role, you’ll help maintain, extend, and modernize our cloud‑based AWIPS platform that supports operational weather forecasting for marine, energy, and public‑sector clients—systems where reliability and performance truly matter.

You’ll work hands‑on alongside meteorologists and fellow developers, building and evolving data pipelines that ingest, process, and visualize large‑scale numerical weather prediction (NWP) and observational data in near real time. From enhancing existing AWIPS capabilities to developing new plugins, procedures, and workflows, your work will directly improve forecast quality and operational resilience.

This is a deeply technical, hands‑on development role focused on Python and Java, production‑grade cloud environments, and complex data systems. You’ll also play a key role in reducing operational risk by improving system robustness, maintainability, and long‑term developer sustainability—shaping how a critical platform evolves for years to come.

• Maintain and enhance a cloud‑hosted AWIPS environment
  , including custom plugins, procedures, and data flows.
• Develop and modify AWIPS components using Python and Java
  , including decoders, processing utilities, and site‑specific tools.
• Manage model and observational data ingestion
  , including GRIB, NetCDF, and derived products, ensuring timely and reliable availability for forecasters.
• Troubleshoot and resolve data issues related to projections, metadata, decoding, and parameter mapping across multiple models (e.g., deterministic and ensemble systems).
• Work with meteorologists to translate operational needs into well‑designed, maintainable AWIPS solutions.
• Improve deployment and configuration workflows for AWIPS in cloud environments, including containerized or infrastructure‑as‑code setups where applicable.
• Contribute to documentation and knowledge transfer to strengthen long‑term in‑house AWIPS development capability.

• Strong experience developing software in Python and/or Java for data‑intensive or scientific applications.
• Experience working in Linux‑based environments.
• Familiarity with structured scientific data formats such as GRIB, NetCDF, or similar.
• Ability to work directly with domain experts (e.g., meteorologists) to support operational systems.
• Preferred / Asset Qualifications
  • Prior experience with AWIPS II development, customization, or administration.
  • Experience with numerical weather prediction (NWP) or meteorological datasets.
  • Exposure to cloud platforms (AWS, Azure, or similar) and operational production systems.
  • Familiarity with geospatial concepts such as map projections, grids, and coordinate systems.
  • Experience supporting mission‑critical or time‑sensitive operational systems.

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