Senior Full Stack Software Engineer
@ Jerry.ai

Hybrid
$150,000
Hybrid
Full Time
Posted 1 day ago

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Job Details

About Jerry.ai

Jerry.ai is a fast-growing, pre-IPO startup on a mission to revolutionize the $2T car ownership industry in the U.S. With $240M in funding and a record of 60X revenue growth over 5 years, the company is gearing up to become a $10B enterprise.

About the Role: Senior Full Stack Software Engineer

In this role, you will design, develop, and maintain scalable software solutions across the full product stack. You will be responsible for ensuring the integrity of the codebase and contributing to both frontend and backend development.

  • Minimum 3+ years of software development experience
  • Bachelor’s degree in Computer or Software Engineering or a related field
  • Strong fundamentals in data structures, algorithms, and design patterns
  • Proficiency in Javascript, NodeJS, and TypeScript
  • Experience working with large, complex codebases and writing tests

Our Tech Stack

The role involves working with modern technologies:

  • Frontend: React, React Native
  • Backend: NodeJS, TypeScript
  • Infra: AWS, Go, Python, Docker, CI/CD
  • Data: Redis, Postgres, DynamoDB, Clickhouse
  • AI/ML: Python pipelines, LLM integrations, internal models

Why Join Jerry.ai?

Work alongside leaders from NVIDIA, Robinhood, Amazon and more. Contribute to a high-growth startup that is transforming car ownership management with AI and innovative tech solutions.

Key skills/competency

  • Full Stack
  • Software Engineering
  • Javascript
  • NodeJS
  • React
  • TypeScript
  • AWS
  • CI/CD
  • Scalability
  • Testing
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How to Get Hired at Jerry.ai

🎯 Tips for Getting Hired

  • Research Jerry.ai's culture: Understand their mission, funding, and tech stack.
  • Customize your resume: Highlight full stack and testing expertise.
  • Showcase project impact: Detail complex problem-solving experiences.
  • Prepare for technical interviews: Revise algorithms and system design.

📝 Interview Preparation Advice

Technical Preparation

Review data structures fundamentals.
Practice JavaScript and NodeJS coding challenges.
Explore React and TypeScript integration.
Study AWS and CI/CD implementations.

Behavioral Questions

Describe a complex problem solved effectively.
Explain your collaboration on large projects.
Share a time when you improved code quality.
Discuss adapting to changing project requirements.

Frequently Asked Questions