Intuit Staff Backend Software Engineer 

United States, California, San Diego 

354836634

• Drive significant technology initiatives end-to-end and across multiple layers of architecture.
• Architect and develop scalable applications or systems.
• Drive the design and implementation of durable software solutions to solve critical 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.
• Work with global, cross-functional 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, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes
• Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics

Southern California $184,500 - 250,000

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

• 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 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 utility 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