Lead Software Engineer, 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:

As a Lead Software Engineer of Meteorological Technologies at The Weather Company, you will transform meteorological operations by strategically building meteorological tools and applying intelligent workflow automation and AI where they deliver real value. You'll partner with our 24x7 Forecast Operations team to evaluate emerging automation tools, build practical solutions and unlock higher productivity from our meteorologists.

This is both a leadership and hands-on technical role requiring someone who can co-design, build, manage, sustain and rapidly evolve cloud-based technology solutions in an operational meteorological environment, co-architect AI workflows and assess cutting-edge tools with discernment, and influence—often across multiple projects simultaneously. You'll aggressively evaluate AI capabilities in partnership with science and technology colleagues while thoughtfully deploying them in trustworthy ways, knowing when AI adds value versus when traditional solutions are smarter, and building pragmatic intelligent systems that operational meteorologists actually use.

The impact you'll make:

Build, maintain, and leverage intelligent meteorological tools and workflow automation using AI and traditional software

Unlock value by adding capacity to meteorological operations through automation, capturing expertise, and integrating solutions across consumer and business verticals

Aggressively evaluate emerging AI tools and traditional software while thoughtfully assessing which platforms deliver trustworthy, practical value for our operations

Partner with meteorologists and developers to co-create solutions through collaboration, not top-down directives

Make pragmatic technology decisions balancing innovation with operational reliability, feasibility, simplicity, cost, and effectiveness

Manage multiple concurrent projects, advancing 3-5+ initiatives from assessment through production deployment and sustaining engineering

Influence technical direction across Science Technology development and operational support teams beyond your direct scope

Champion thoughtful AI adoption, helping teams embrace intelligent automation while maintaining trust and reliability

Bring order where there is chaos, creating workflow efficiency where manual processes and inefficiencies currently exist

Modernize select legacy systems by proposing sustainable replacements when they block automation opportunities

What you've accomplished:

7+ years in cloud-based (e.g., AWS) solutions architecture, software development, DevOps, or related technical roles

Domain experience in meteorology, weather forecasting, aviation, or scientific operations

Production software delivery across the full lifecycle from design to deployment to support

24x7 operational environments - worked with mission-critical systems where trustworthiness and reliability matter

Multi-project execution - successfully managed 3-5+ concurrent technical initiatives to completion

AI-assisted development - practical experience using AI coding assistants such as V0, GitHub CoPilot, Cursor to accelerate development workflows.

LLM and modern AI integration - practical experience with APIs, prompt engineering, RAG, agentic workflows, or similar capabilities

Multi-language programming - proficiency in Python, JavaScript/TypeScript, Go, or similar languages

Modern web development - experience with React, Next.js, or similar frameworks for building production web applications

Both AI and traditional solutions - comfortable building with or without AI based on what the problem requires.

API design and integration - connecting AI or other systems with existing tools and building maintainable architectures

System modernization - successfully replaced or upgraded operational systems when needed

Bachelor's degree in Computer Science, Engineering, AI/ML, Meteorology, or a related field (or equivalent experience)

Working Style, Judgment, and Collaborative Skills:

Hands-on contributor - writes code and builds workflows, not just directs others

Pragmatic decision-maker - ships simple, effective solutions over complex, perfect ones

AI innovator with discernment - aggressively evaluates emerging tools but applies critical judgme…