Application Guide

How to Apply for Senior Full-stack Software Engineer

at Kettle

🏢 About Kettle

Kettle is a unique company using deep learning to revolutionize reinsurance by predicting and mitigating climate crises. Their mission-driven approach combines cutting-edge technology with real-world impact, making it an exciting place for engineers who want their work to address urgent global challenges while working on complex technical systems.

About This Role

This Senior Full-stack Software Engineer role involves end-to-end ownership of Kettle's core systems, from AWS infrastructure and backend services to front-end interfaces. You'll drive DevOps initiatives and architectural decisions that directly impact the company's ability to scale its climate risk prediction platform, making this a highly impactful position at the intersection of engineering and mission.

💡 A Day in the Life

A typical day might involve reviewing system metrics from your monitoring dashboards, collaborating on architecture decisions for new climate prediction features, implementing containerized services on AWS ECS, and developing front-end components for internal data visualization tools. You'll balance infrastructure improvements with feature development while ensuring the platform remains reliable for processing climate risk data.

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Interview Prep

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🎯 Who Kettle Is Looking For

  • Has 5+ years of production experience with demonstrated ownership of AWS-based systems (Lambda, ECS, RDS, S3, IAM) and container orchestration
  • Possesses strong DevOps mindset with hands-on experience in CI/CD pipelines, monitoring, cost optimization, and security for climate data systems
  • Is a full-stack engineer comfortable with Python backend development and modern front-end frameworks for both internal tools and customer interfaces
  • Can drive architecture decisions that balance scalability, resilience, and maintainability for a deep learning-driven platform

📝 Tips for Applying to Kettle

1

Highlight specific AWS services you've used (Lambda, ECS, S3, RDS) and quantify your impact on system reliability or cost optimization

2

Demonstrate how your experience aligns with climate tech or data-intensive applications, even if indirectly

3

Showcase projects where you owned both backend infrastructure and front-end features in a production environment

4

Include metrics about system performance, deployment frequency, or incident reduction in your resume

5

Tailor your application to show how you've balanced technical excellence with business impact in previous roles

✉️ What to Emphasize in Your Cover Letter

["Explain why Kettle's mission to predict climate crises resonates with you personally or professionally", 'Describe a specific project where you owned both DevOps infrastructure and application features', "Highlight your experience with AWS services mentioned in the requirements and how you've optimized them", 'Connect your architectural decisions to business outcomes like scalability or reliability improvements']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Understand how reinsurance works and how deep learning applies to climate risk prediction
  • → Research Kettle's specific approach to climate modeling and their published technical content
  • → Learn about the regulatory environment for insurance/reinsurance technology in the United States
  • → Explore the challenges of processing climate data at scale and existing solutions in the market

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you design a scalable data pipeline for climate risk predictions using AWS services?
2 Describe your approach to implementing observability and monitoring for a containerized deep learning workload
3 Walk through a time you had to balance feature development with infrastructure reliability improvements
4 How would you optimize costs for AWS services while maintaining system performance for climate data processing?
5 What security considerations are unique to a reinsurance platform handling sensitive climate and financial data?
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⚠️ Common Mistakes to Avoid

  • Applying with a generic resume that doesn't specifically address AWS, DevOps, and full-stack requirements mentioned
  • Focusing only on front-end or only on backend without demonstrating the integrated full-stack experience they need
  • Showing no understanding or interest in the climate tech mission beyond the technical requirements

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

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Good luck with your application to Kettle!

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