Meteorology Engineering Jobs in Georgia (NOW HIRING)

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).
AI is part of how we work:
Human judgment, expertise, and creativity remain essential and are amplified by AI. We expect everyone in this role to use AI thoughtfully and proactively to accelerate their performance, improve the quality of their work, and explore new possibilities. We are looking for people who are curious, adaptable, and excited to help shape an AI-enabled culture that delivers better outcomes for our customers and our company.

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 judgment about practical, trustworthy application
• Systems thinker - understands dependencies, integration points, and how solutions fit into larger workflows
• Customer-focused - treats internal teams as valued customers and solves real operational problems
• Balanced risk-taker - pushes for innovation while ensuring solutions are reliable and maintainable
• Comfortable with ambiguity - thrives when creating structure where little exists
• Cross-functional partnership - delivered solutions by collaborating with non-technical domain experts
• Influence without authority - achieved adoption and buy-in across organizational boundaries
• Change management - helped teams successfully adopt new technologies while maintaining confidence

Nice To Have

• Frontend/backend coordination: experience building or leading the development of full-stack web applications with API integrations using modern hosting platforms and serverless architectures
• Experience deploying and managing web apps on Vercel or comparable hosting services
• Practical AI deployment - built and shipped AI solutions that solve real operational problems with appropriate monitoring and safeguards
• Advanced AI techniques - vector databases, embeddings, semantic search, RAG, or multi-agent orchestration patterns
• DevOps practices - CI/CD pipelines, infrastructure as code, containerization, monitoring, and observability
• Process mining and optimization - formal experience identifying and quantifying automation opportunities
• Technology evaluation frameworks - made pragmatic build/buy/AI decisions using structured analysis balancing innovation with reliability
• Master's degree or higher in Computer Science, Engineering, AI/ML, Meteorology, or a related field (or equivalent experience)