Staff Software Engineer - Full Stack

At Intuit, we hold a global leadership position in financial management solutions. We've been at the forefront of inventing Virtual Platforms and democratising 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.

We are cultivating a culture that prioritises innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognise 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.

Responsibilities:

• Development of customer-facing applications from design through implementation.
• Contribute to full lifecycle quality and engineering activities, including peer reviews of estimates, designs and code.
• Partner effectively with all team members in the organization to deliver against commitments.
• Roughly 60-75% hands-on coding.
• Resolve defects/bugs during testing, pre-production, production, and post-release patches.
• Work cross-functionally with various Intuit teams: product management, various product lines, or business units to drive forward results.
• Contribute to the design and architecture of the project.
• Experience with Agile Development, SCRUM, or Extreme Programming methodologies.
• Commitment to team success and positive team dynamics.
• Passion for growing and applying technical skills in service to customers.

Qualifications:

• BS/MS in Computer Science or related area or equivalent experience.
• 10+ years of professional working experience delivering production-ready code.
• Experience in developing systems/software for large business environments (React, Java/J2EE, Python).
• Experience in designing complex distributed systems, management products or business applications.
• Prior experience working in teams that have built AI native applications for 1+ years.
• Full-stack development experience with AI technologies and tools; applying it to user experiences or backend solutions.
• Advocate for the highest standards for engineering design, implementation, and testing.
• Practical experience in developing applications using microservices, container technologies, container management systems such as Kubernetes.
• Strong experience with Databases design (SQL, NoSQL) and analytics.
• Prior working experience in utility computing and/or cloud computing domain highly desired
• Experience building and deploying applications and services into cloud environments (AWS highly desired).