Senior Android Engineer

2 days ago

Mountain View CA United States Intuit Inc. Full time

We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a 'builder' mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems.

At Intuit, we hold a global leadership position in financial management solutions. We've been at the forefront of inventing Virtual Platforms and democratizing cloud computing for small businesses and their patrons alike. Our 40 years of expertise have rooted us in the startup mentality, positively disrupting ourselves as we constantly identify cutting-edge technology and design paradigms. Our teams are dynamic, focused on delivering creative solutions with a side of fun.

Responsibilities
  • Create high-quality Android experiences by deeply understanding customer needs and quickly translating insights into mockups, wireframes, and proof-of-concept code.
  • Translate design (Adobe Illustrator, Photoshop, PDFs, and PNGs) into working Android code.
  • Quickly mock out server-side dependencies to accelerate development. Knowledge of server-side development processes, tools, and technology is a plus.
  • 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.
Minimum Requirements
  • BS/MS in Computer Science or related area or equivalent experience.
  • 5+ years of experience and ability to develop, maintain, and innovate large-scale, consumer-facing mobile applications.
  • Experience with modern Android technologies like Kotlin, Jetpack Compose, and Android SDK.
  • Experience in the Software design/architecture process.
  • Experience with web services (consuming or creating) with REST or SOAP.
  • Strong communication skills, with the ability to explain complex technical issues to different audiences.
  • Proficiency in the Software design/architecture process and experience with unit testing and Test Driven Development (TDD).
  • 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 AI solutions.
  • Ability to communicate effectively with cross-functional teams, including AI experts and stakeholders.
  • Ability to keep up-to-date with the latest trends and advances in AI technology and incorporate them into software development practices.
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