Senior Meteorological Software Engineer - Applied Meteorological Technologies

About The Weather Company:

The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com).

Job brief:

The Applied Meteorological Technologies group bridges the gap between atmospheric science and production engineering, translating cutting-edge research into operational systems that serve millions of users daily. You will be part of TWCo's broader initiative to transform how we build and deliver weather intelligence through AI-native development practices and intelligent automation.
As a software engineer and AI advocate within the Applied Meteorological Technologies group, you will have the unique opportunity to advance technologies and data services that have driven weather-sensitive industries and informed consumer decisions for decades, while reimagining TWCo’s approach to impact-based decision support in an increasingly AI-driven world. Focusing initially on weather data acquisition pipelines and specialized backend data processing techniques, you will develop meteorological algorithms and AI approaches into software and data products using modern engineering practices. Strengthened by a close-knit, agile/Scrum culture at your foundation, you will meld classic hands-on C++, Python, and/or Java development approaches with AI-driven workflows, while working closely with your science and engineering colleagues to elicit requirements and define success.

The impact you'll make:

• Work with atmospheric science-based teams to design effective software and AI solutions to challenging meteorological data and mathematical problems
• Engineer and build software, hardware, and AI-based solutions to rapidly implement weather data acquisition, processing, analysis, and forecasting technologies
• Advance team productivity by incorporating and advocating modern software engineering practices, including both classical and AI-based approaches
• Advocate new and emerging AI-first approaches that improve velocity and efficiency, both in day-to-day software development activities involving the TWCo codebase and in deploying innovative ways of analyzing, processing, and disseminating core meteorological content via AI agents or workflow automations
• Transition software into operations and provide ongoing technical support as necessary, including working closely with operational teams and supporting a 24/7/365 on-call rotation
• Participate in an agile/scrum work environment
• Design, develop, code, install, debug, and test diverse, complex, and wide-ranging software solutions, while demonstrating advanced professional expertise of data flow through full systems implementation, exercising, up to and including leading others in selecting methods, techniques, and evaluation criteria for obtaining results
• Determine operating feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions, and provide alternative solutions as required
• Provide estimates of work effort and impact of projects and tasks, and provide team leadership, as required

What you've accomplished:

• 5+ years of related experience in full-cycle software development with demonstrated achievements and progressive responsibilities
• Understanding of meteorological concepts, particularly in the areas of weather data and weather-adjacent applications, or a provable aptitude to quickly learn them
• Bachelor's Degree in Computer Science, Atmospheric Science, or related field/equivalent
• Proficiency in software development in C++, Python, and/or Java, and scripting (Bash) in a LINUX/UNIX environment
• An emerging proficiency in leveraging AI Coding Assistants (e.g., Gemini CLI, Cline, Claude Code, Aider, or Continue) for efficient software development, demonstrating a commitment to AI-driven workflows in C++, Python, and/or Java development environments
• Highly evident motivation to build and deploy real-world weather technologies based on cutting-edge science, including emerging AI technologies. This includes investigating and using AI models to solve real-world problems.
• Demonstrable experience with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines
• Familiarity with cloud computing technologies such as AWS and its core services like EC2, S3, Lambda, SQS/SNS, or equivalent cloud experience on other platforms
• Excellent Written/Verbal communication skills

Nice to have:

• Advanced degree (Master's or higher) in Computer Science, Atmospheric Science, or related field/equivalent
• Highly proficient & demonstrated advanced technical level software design, debugging, documentation, and testing skills, requiring application of extensive technical knowledge & skills at the subject matter expert level to complete & document projects
• Familiarity with meteorology and/or related earth sciences, especially with gridded radar, satellite, forecast models, and similar meteorological data.
• Practical understanding and experience with Large Language Model (LLM) concepts, including model access control and prompt management, with a focus on integrating LLMs into software development pipelines 
• Experience with LLM Proxy and Observability/Prompt Management tools (e.g., LiteLLM proxy or Langfuse) for managing model access, tracking usage, and monitoring prompt performance
• Knowledge of various LLM APIs and models, including hands-on experience in selecting, fine-tuning, and integrating models for real-world application development
• Familiarity with workflow automation builders (e.g., N8N workflow builder) for creating automated processes and connecting AI agents/services
• Ability to analyze, manipulate, and display gridded meteorological datasets, such as GRIB, NetCDF, HDF, etc., and non-gridded text, XML, JSON, and similar industry formats
• Knowledge of database formats, technologies, and tools such as SQLITE and PostgreSQL
• Knowledge of containerization technologies (e.g., Docker, Kubernetes) and serverless computing
• Experience designing and developing multi-threaded applications
• Experience working in a distributed software environment
• Experience with DevOps practices, infrastructure as code (IaC), and automated deployment tools (e.g., Terraform, Ansible, Chef, Jenkins)
• Some level of project management experience
• Contributions to open-source projects, tech communities, or speaking engagements at conferences