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Intuit Senior Backend Software Engineer 
United States, California, Mountain View 
586108526

08.05.2025
Responsibilities
  • Be responsible for roughly 80-90% hands-on coding and serve as a technical leader by mentoring junior engineers and applying technical expertise to challenging programming and design problems
  • Drive the design and implementation of reliable and scalable backend software solutions that solve critical customer problems and interact with numerous other services.
  • Deliver high quality web application code and contributing to overall site stability by conducting code reviews and writing unit and integration tests
  • Contribute to the design/architecture of the project and developing web software while implementing best practices for architecture, design, coding standards & CI/CD
  • Work collaboratively with AI experts and integrate AI into existing systems, leveraging expertise and guidance as needed
  • Propose AI solutions that can be applied to a variety of problems

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is: $161,500- 219,000.

Qualifications
  • BS/MS in Computer Science or related area or equivalent experience
  • 5+ years of experience developing systems/software for large businesses using Java/J2EE, Python, or Go
  • Strong communication skills with a demonstrated ability to explain complex technical issues to both technical and non-technical audiences
  • Experience with databases, cloud, APIs, and other technologies to ensure that the application is scalable, secure, and performant.
  • Experience with unit testing and Test Driven Development (TDD)
  • Experience developing, maintaining, and innovating large scale, consumer facing web applications
  • Possess basic understanding of AI concepts and foundations
  • Ability to work collaboratively with AI experts and integrate AI into existing systems as needed, with guidance
  • Familiarity with data and metrics required for building and evaluating AI models
  • Conversant with AI Native principles and able to apply them to software development
  • Strong problem-solving skills and ability to think creatively about software and AI based solutions
  • Ability to communicate effectively with cross-functional teams
  • Ability to keep up-to-date with the latest trends and advances in AI technology and incorporate them into software development practices.