AWIPS Application Developer at WSP

Saint, Rajasthan, India -

Full Time

Start Date

Immediate

Expiry Date

11 Aug, 26

Salary

118900.0

Posted On

13 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Java, Linux, GRIB, NetCDF, ETL Pipelines, AWIPS II, Numerical Weather Prediction, Cloud Platforms, Geospatial Concepts, Data Ingestion, Software Development

Industry

Professional Services

Description

What if you could redefine what’s possible? With us, you can. You want Purpose. Growth. Opportunity. People who get it. We are the home of ambitious, passionate, and innovative world shapers. With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions. We are pathfinders and impact makers. We are Visioneers. We are WSP. -------------------------------------------------------------------------------- The Opportunity 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. -------------------------------------------------------------------------------- Your Impact * 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. -------------------------------------------------------------------------------- The Skills That Set You Apart * 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. * Experience building or maintaining data ingestion pipelines (ETL‑style workflows). * 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. -------------------------------------------------------------------------------- Why Choose WSP? We exist to shape communities to advance humanity. The brightest engineers, advisors and scientists from across the globe call WSP home. * Proudly Canadian – we are a Top 100 Employer in Canada for 2026. * A global community of brilliant minds – your next idea, mentor, or opportunity is always within reach. * Limitless opportunities start here. Whether it’s across the country or around the globe, we help you tailor your role to match your ambition — because your growth drives ours. * Flexible work, real balance – we recognize the importance of balance in our lives and encourage you to prioritize the balance in yours. #WeAreWSP -------------------------------------------------------------------------------- Compensation AB, BC, NT, NU, SK & YT: $89,800 - $118,900 MB & ON: $81,100 – $107,700 NB, NL, NS, PE & QC: $81,900 - $112,800 Disclosure: The final salary awarded for this role may vary from the above range based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. The wage range provided in this job posting may be subject to change for business purposes. -------------------------------------------------------------------------------- Make Your Mark with WSP If you’re a software developer who wants to work on complex, mission‑critical systems—and see your code make a real‑world impact—this is your opportunity. Join WSP and help shape the future of operational weather technology alongside experts who care deeply about performance, reliability, and innovation. Ready to build what matters? Apply today and be part of a team pushing the boundaries of what’s possible in weather and environmental intelligence. --------------------------------------------------------------------------------

Responsibilities

Maintain and modernize a cloud-based AWIPS platform to support operational weather forecasting for various clients. Develop data pipelines and plugins using Python and Java to process large-scale numerical weather prediction and observational data.