Senior Staff Software Engineer - Payments & Invoicing
Intuit · Mountain View, California, United States ·
- Seniority
- Staff
- Category
- Software engineering
- Experience
- 1+ years
Become a part of Intuit's 'Builder Catalysts' community as a Senior Staff Software Engineer and contribute to our mission of powering global prosperity. Our Builder Catalysts are distinguished by their extreme ownership and co-creation with cross-functional partners throughout the entire product lifecycle, from initial ideation and customer research to rapid experimentation and final execution. We are dedicated to building AI-native experiences from the ground up, utilizing artificial intelligence to resolve the most intricate challenges facing our customers. We seek engineers who are customer-obsessed, excel in boundaryless collaboration, and prioritize the delivery of transformative AI solutions.
Come join Intuit as part of the Fintech - Payments team as a Senior Staff Software Engineer to build world class Payments & Invoicing capabilities across our customer segments.
Responsibilities
Drives velocity in the organization by accelerating customer, business, and technology outcomes by identifying and driving key opportunities across the company
Hands-on technologist who actively contributes to code, architecture decisions, and drives significant technology initiatives end-to-end
Understands customer behaviors and partners with cross-functional partners to influence and drive end-to-end solutions for customer problems
Drives design and implementation of durable software solutions that solve critical customer problems in a fast-paced environment
Executes with a boundaryless mindset and contributes to solutions outside of their primary area of ownership
Knowledge of building AI native applications
Prior working experience in teams that have built AI native applications for 1+ years
Guides the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies
Understands evaluation tools to validate and measure the accuracy of solutions
High-level understanding of how AI models work, the different types of AI models that exist, and their pros and cons
Understanding of the latest tools and technologies that apply AI to real-world applications
Creates robust, scalable, and secure technical designs, effectively implementing them to balance short-term and long-term objectives, ensuring high availability and optimal performance of applications
Passionate for continuous learning, experimenting, and applying cutting-edge technology and software paradigms to solve customer problems
Qualifications
7+ years of experience designing complex distributed systems, management products, or business applications
Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions
Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python
Experience with React, Typescript, NodeJS, Java, Spring
Prior working experience in a cloud computing environment like AWS/GCP is highly desired
Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders
Prior experience working in teams that have built AI native applications for 1+ years BS/MS in Computer Science or related area
Explicit experience with coding using Code Assist tools like Claude, including the development of custom plugins or applications
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is: