Staff Software Engineer - Virtual Expert Platform
Intuit Financial Services
Role Description
The Virtual Expert Platform (VEP) team sits at the center of how Intuit connects customers to trusted guidance through Human Intelligence (HI), AI-powered experiences, and deeply integrated AI + HI workflows. VEP powers a multi-billion-dollar Services business, enhances Customer Success, and enables Sales and Growth motions by connecting prospects and customers to the right expertise at the right time.
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, 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.
- 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.
Qualifications
- 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.
Benefits
- Competitive compensation package with a strong pay for performance rewards approach.
- May be eligible for a cash bonus, equity rewards, and benefits, in accordance with applicable plans and programs.
- Pay offered is based on factors such as job-related knowledge, skills, experience, and work location.
- Regular comparisons across categories of ethnicity and gender to drive ongoing fair pay for employees.
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