Job Overview
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.Intuit has embraced a hybrid way of working. This is a hybrid role with the expectation of working from our Toronto office 3 days per week
Responsibilities
- Develop and implement software solutions that address critical customer issues and ensure that they are secure, scalable, easy to maintain, and interact with various other services.
- Contribute to overall site stability, including code reviews, writing unit and integration tests
- Experience with Agile Development, SCRUM, or Extreme Programming methodologies
- Ability to effectively influence and communicate concepts with both technical and non-technical stakeholders
- Work collaboratively with cross-functional teams to develop and implement AI-based solutions
Qualifications
- BS/MS in Computer Science or relevant field, or equivalent experience.
- 2+ years’ experience in delivering enterprise-class applications.
- 2+ years’ experience in developing software for large business environments (preferably in Java/J2EE, Python, Go).
- Experience in UI frameworks such as React, Angular, and Backbone.
- Excellent knowledge of relational databases, SQL, and ORM technologies (JPA2, Hibernate).
- Experience with microservices, container technologies, and container management systems such as Kubernetes or Mesos.
- Experience in Database design (SQL and NoSQL) and analytics.
- Experience in utility computing and cloud computing domains.
- Capability to build and deploy applications and services in cloud environments.
- Basic understanding of AI capabilities, specifically GenAI
- Knowledge and awareness of AI concepts
- Ability to work collaboratively across analytics, engineering, product, design, and AI
- Strong problem-solving skills and analytical mindset
- Ability to stay up-to-date with advances in AI technologies and incorporate them into software development best practices
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