Lead Software Engineer — Meteorological AI & Cloud

The Weather Company; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible Time Off program

Medical insurance options with $0 cost premium employee coverage

Competitive 401K match with no vesting requirement

Job summary

The Weather Company in Atlanta is looking for a Lead Software Engineer to innovate meteorological technologies using cloud and AI solutions. In this role, you will build intelligent tools that transform meteorological operations, collaborating closely with scientists and developers.

Your experience in cloud-based solutions and AI will be key as you evaluate tools and implement reliable systems. The role requires technical expertise and a hands-on approach, impacting both operational efficiency and product development.

Qualifications

• 7+ years in cloud-based 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.

Responsibilities

• Build and maintain intelligent meteorological tools and workflow automation using AI.
• Evaluate emerging AI tools and traditional software for operational solutions.
• Manage multiple concurrent projects from assessment through deployment.

Skills

Cloud-based solutions architecture

AI and machine learning integration

Software development

Collaboration with meteorologists

Full software lifecycle delivery

Education

Bachelor's degree in Computer Science, Engineering, AI/ML, Meteorology or related field

Tools

AWS

React

Next.js

GitHub CoPilot

Job description

The Weather Company in Atlanta is looking for a Lead Software Engineer to innovate meteorological technologies using cloud and AI solutions. In this role, you will build intelligent tools that transform meteorological operations, collaborating closely with scientists and developers.

Your experience in cloud-based solutions and AI will be key as you evaluate tools and implement reliable systems. The role requires technical expertise and a hands-on approach, impacting both operational efficiency and product development.