Staff Software Engineer

Overview

Come join the Global Business Solutions Group in Intuit as a Staff Software Engineer.

You will work on the Growth Engineering team creating web experiences that help prospective QuickBooks customers discover how Intuit can serve them and enable them to sign-up for the right products for their needs. We are looking for engineers who love to lead the charge, and question the status quo, but are also humble, and collaborate effectively. We love product engineers who are driven to make an impact and deliver amazing outcomes that delight our customers. If you love having big goals, working on real-world challenges, and solving customer problems by applying new technologies creatively, this is the job for you.

What you'll bring

BS/MS in Computer Science or related area or equivalent experience.
7+ years of total experience delivering enterprise-class applications.
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 with JavaScript application design and testing experience.
Proficiency in mid-tier languages like Java.
Experience with test automation: TDD, unit/integration/functional testing.
Experience with Relational Database Design and Implementation.
Interest in building CI/CD pipelines.
Practical experience in developing applications using microservices, container technologies, container management systems such as Kubernetes, Mesos, etc.
Strong experience with Databases design (SQL, NoSQL) and analytics.
Prior working experience in u:lity computing and/or cloud computing domain.
Experience building and deploying applications and services into cloud environments.
Proficient in building or integrating functional AI models using techniques such as LLM prompting, AutoML modeling, etc
Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance
Possesses an in-depth understanding of AI integration and can lead the integration process effectively, while coaching junior engineers on how to leverage AI
Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is:INSERT PAY RANGES – for example:

Bay Area California $1+1,000 - $258,500

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 pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

How you will lead

Deliver exceptional customer experiences that drive significant business growth
Drive significant technology initiatives end-to-end and across multiple layers of architecture
Drive the design and implementation of durable and software solutions to solve crucial 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
Provide/inspire innovations that fuel the growth of Intuit as a whole and generate creative ideas for emerging business needs
Partner and work with global teams across time zones Communicate clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives)
Proactively identify opportunities to enhance software applications with AI technology
Coach and mentor junior engineers on best practices of software engineering and executing with high velocity
Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics