Athenium LLC

Lead Software Engineer, Meteorological Technologies

Athenium LLC$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years in cloud-based solutions architecture, software development, DevOps, or related roles
  • Domain experience in meteorology, weather forecasting, aviation, or scientific operations
  • Experience delivering production software across the full lifecycle
  • Familiarity with mission-critical systems in 24x7 operational environments
  • Success managing multiple concurrent technical initiatives to completion
  • Hands-on experience with AI coding assistants to enhance development workflows
  • Proficient in Python, JavaScript/TypeScript, Go, or similar languages

Responsibilities

  • Build and maintain intelligent meteorological tools and workflow automation
  • Evaluate and integrate emerging AI tools and traditional software
  • Collaborate with meteorologists to co-create practical solutions
  • Make pragmatic technology decisions balancing innovation and reliability
  • Manage multiple projects from assessment through to deployment
  • Champion thoughtful AI adoption while ensuring reliability
  • Modernize legacy systems to enhance automation opportunities

Benefits

  • Flexible Time Off program
  • Hybrid work model
  • Variety of medical insurance options with $0 cost premium for employee coverage
  • Competitive 401K match with no vesting requirement and benefits effective from day 1
  • Progressive family plan benefits
  • Opportunity to work for a leading global technology company
  • Engaging work in a collaborative environment
Full Job Description
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)


TWCo Benefits/Perks:
  • Flexible Time Off program
  • Hybrid work model
  • Variety of medical insurance options including a $0 cost premium employee coverage
  • Benefits effective day 1 of employment include competitive 401K match with no vesting requirement, national health, dental, and vision plans
  • Progressive family plan benefits
  • An opportunity to work for a global and industry-leading technology company
  • Impactful work in a collaborative environment

About Athenium LLC

Athenium Analytics is a software company that provides data analytics solutions for the insurance industry. The company was founded in 2004 by David Coons and is headquartered in Boston, MA. Athenium's flagship product, Insurity, is a data analytics platform that enables insurers to improve their underwriting and claims processes. The platform uses machine learning algorithms to analyze large amounts of data and provide insights into risk and fraud. Athenium also offers consulting services to help insurers implement and optimize their data analytics strategies.
Learn more about Athenium LLC
Size
100 employees
Industry
Founded
2005

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