Intuit is seeking to solve customer problems by integrating AI and emerging technologies to efficiently and effectively provide financial management solutions
Requirements
- Solid foundation in writing scalable application code following best practices of accessibility, internationalization, and instrumentation
- Experience with cross-browser, cross-platform, and design constraints on the web and mobile
- Solid knowledge of algorithms and design patterns
- Proficiency in mid-tier languages like Java
- Experience with test automation: TDD, unit/integration/functional testing
- Experience with Relational Database Design and Implementation
- Practical experience in developing applications using microservices, container technologies, container management systems such as Kubernetes, Mesos, etc
Responsibilities
- Drive significant technology initiatives end-to-end and across multiple layers of architecture
- Architect and develop scalable applications or systems
- Drive the design and implementation of durable software solutions to solve critical customer problems that are scalable, secure, easy to maintain, and interact with numerous other systems
- Provide recommendations and best practices for application development, platform development, and developer tools
- Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting edge technologies
- Proactively identify opportunities to enhance software applications with AI technology
- Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics
Other
- BS/MS in Computer Science or related area or equivalent experience
- 7+ years of total experience delivering enterprise-class applications
- Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers
- Communicate clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives)
- Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes
