Staff Software Engineer - Back End
Summary
Build and scale backend services for Intuit’s AI-driven tax and financial platform, using Java, microservices, and cloud technologies to support millions of users.
Overview
Are you ready to help reinvent the way millions of people file their taxes, monitor their financial wellbeing and make money decisions?
Overview
Are you ready to help reinvent the way millions of people file their taxes, monitor their financial wellbeing and make money decisions?
Come join Intuit’s DynEx Team as a Staff Software Engineer - Backend, to help shape how Intuit designs, crafts, operates, and runs its applications. In this position, you will have the opportunity to play a critical role in architecting and building foundational services to make a massive impact on Intuit’s transformation into a modernized, AI-driven platform.
We are seeking a Staff Software Developer with a strong passion for building successful applications, services, and APIs that deliver big value to customers. You are comfortable in dealing with ambiguity and changes. You love to take initiative and have a bias towards action. You are not afraid to tackle difficult problems and dive into new technologies. You are highly motivated and a creative problem solver with a passion for innovation.
This Is Your Chance To
- Solve high-scale, high-impact engineering challenges that touch millions of users.
- Work with cutting-edge technologies to design systems that are fast, reliable, and secure.
- Be part of a team that is building/driving the core architecture for the future of intelligent, modernized, AI-driven platform experiences at Intuit.
Responsibilities
- 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
- Knowledge of building AI native applications
- Guide the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies.
- Understand evaluation tools to validate and measure the accuracy of solutions.
- 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.
- 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.
- Understanding of and an 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.
- Experience building and deploying applications and services into cloud environments.
- Excellent communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
- 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
Southern California: $184,500 - $250,000
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Software Development
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