Lead Software Engineer, Meteorological AI & Automation

The Weather Company

Andover (MA)

Hybrid

USD 150,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Flexible time off

Hybrid work model

Wide medical options

401K match

Family plan benefits

Job summary

The Weather Company is seeking a Lead Software Engineer of Meteorological Technologies to transform meteorological operations by building intelligent tools and AI-driven workflows. You will partner with our 24x7 Forecast Operations team to evaluate automation tools and deliver practical solutions that boost productivity for meteorologists.

This role blends leadership with hands-on coding to co-design, deploy, and sustain cloud-based solutions in an operational meteorology setting.

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.
24x7 operational environments - mission-critical systems where trustworthiness and reliability matter.
Multi-project execution - 3-5+ concurrent technical initiatives to completion.
AI-assisted development using AI coding assistants to accelerate workflows.
LLM and modern AI integration with APIs, prompt engineering, or similar capabilities.
Multi-language programming in Python, JavaScript/TypeScript, Go, or similar languages.
Modern web development with React, Next.js or similar frameworks.
API design and integration with existing tools.
System modernization - upgraded operational systems when needed.

Responsibilities

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.