Weather Systems Software Engineer

A global energy trading and investment firm is hiring a software engineer to work on its world-class weather forecasting platform. Weather data plays a critical role in the firm’s quantitative research and trading strategies, and the team builds high-performance systems that ingest and process atmospheric data used directly in pricing models.

You’ll join a small engineering team (3 people) responsible for building and maintaining the firm’s forecasting infrastructure and helping researchers move models into production.

The role:

• Develop high-performance backend systems in C++ on Linux
• Work on a real-time forecasting platform that processes data from external and internal weather models with predictions extending out to 3 weeks +
• Collaborate with quant researchers and traders to translate research ideas into production systems
• Run forecasting models and data pipelines in AWS
• Contribute to integration of AI / machine learning weather models
• Improve system speed and reliability (minutes can matter commercially)

Your Profile:

• Experience building backend systems on Linux
• Willingness to work with Python (internal tools and data clients)
• Interest in high-performance or low-latency systems
• Background/exposure to meteorology / atmospheric science or closely related field
• Location: London, Berlin or Geneva (Singapore considered)

Candidates from organisations such as ECMWF, national meteorological agencies, weather tech companies, or atmospheric research groups would be particularly relevant.

Pre-Application Requirements

• This is a permanent role; contract applicants will not be considered.
• Your application is subject to our privacy policy, found here: https://www.thurnpartners.com/privacy-policy

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