Staff Software Engineer

Come join Intuit as a Staff Software Engineer and help us power prosperity around the world for our customers. We are looking for engineers that love to take on new challenges, solve tough problems, and have deep empathy for our customers. You’ll work with a small group of passionate engineers, product managers, and designers by leveraging AI & relevant technology frameworks.

Responsibilities

1. Drives velocity in the organisation by accelerating customer, business, and technology outcomes by identifying and driving key opportunities across the company.
2. Drives significant technology initiatives end-to-end, including horizontal layers of the architecture.
3. Understands customer behaviours and partners with cross-functional partners to influence and drive end-to-end solutions for customer problems.
4. Drives design and implementation of durable software solutions that will solve critical customer problems in a fast-paced environment.
5. Executes with a boundary-less mindset and contributes to solutions outside of their primary area of ownership.
6. Knowledge of building AI native applications.
7. Guides the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies.
8. Understands evaluation tools to validate and measure the accuracy of solutions.
9. High-level understanding of how AI models work, the different types of AI models that exist, and their pros and cons.
10. Understanding of the latest tools and technologies that apply AI to real-world applications.
11. 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.
12. Passionate for continuous learning, experimenting, and applying cutting-edge technology and software paradigms to solve customer problems.

Team/Collaboration

1. Partners with other groups both inside and outside of Intuit for cross-functional design, development, and integration.
2. Works with cross-functional team members from Architecture, Product Management, and Operations to design, develop, test, and release features.

Community

1. Contributes to standards, patterns, and best practices that improve the engineering community.
2. Provides perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals, and engineering process improvements.

Minimum Requirements

1. Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders.
2. 8+ years of experience developing systems/software for large business environments.
3. 5+ years of experience designing complex distributed systems, management products, or business applications.
4. Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions.
5. Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python.
6. Experience with at least one of the following: Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android) or Back-end technologies like Java, Typescript, Spring, Express (NodeJS).
7. Prior working experience in a cloud computing environment like AWS/GCP is highly desired.
8. Prior experience working in teams that have built AI native applications for 1+ years.
9. BS/MS in Computer Science or related area.

Team/Leadership Qualifications

1. Team player possessing strong analytical, problem-solving, and communication skills.
2. Strong mentoring skills. Able to influence and communicate effectively with both technical and non-technical people.
3. Prefers working in a team and collaborates with other cross-functional partners.
4. Ability to work effectively in a fast-paced, complex technical environment.
5. Excellent communication skills. Communicates clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives).
6. \’Self-starter\’ attitude and the ability to make decisions independently.
7. Experience driving for results across cross-functional teams while maintaining effective working relationships.
8. Demonstrated ability to work with global teams across time zones.

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