Staff Software Engineer: AI-Driven Platform Architect

Intuit, Inc.

Mountain View (CA)

On-site

USD 203,000 - 274,000

Full time

3 days ago

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Job summary

Intuit, Inc. in Mountain View is seeking an experienced Senior Software Engineer to drive end-to-end technology initiatives and architect scalable systems. You will lead AI integrations, mentor engineers, and collaborate with global teams to build cloud-ready fintech solutions.

The role emphasizes building durable software, adopting best practices, and delivering impactful customer solutions across multiple platforms.

Qualifications

BS/MS in Computer Science or related field or equivalent experience.
10+ years of total experience delivering enterprise-class applications.
Experience writing scalable code with accessibility and internationalization in mind.
Experience with web and mobile cross-browser constraints.
Solid knowledge of algorithms and design patterns.
Proficiency in Java as a mid-tier language.
Experience with test automation (TDD, unit/integration/functional/perf).
Experience with relational database design and implementation.
Interest in CI/CD pipelines.
Experience with microservices and container technologies (Kubernetes, Mesos).
Strong experience with SQL/NoSQL databases and analytics.
Experience in cloud computing and deploying applications/services to cloud environments.
Experience building or integrating AI models (LLM prompting, AutoML).
Ability to coach juniors and work with cross-functional teams.

Responsibilities

Drive technology initiatives end-to-end across multiple architecture layers.
Architect and develop scalable applications or systems.
Design and implement durable software solutions that are scalable, secure, and maintainable.
Provide recommendations for development practices and tools.
Stay current with industry best practices and apply cutting-edge technologies.
Lead AI integrations in production and measure impact on performance and user satisfaction.
Mentor junior engineers on software engineering practices and AI usage.
Collaborate with data scientists, product managers, and software engineers across time zones.
Communicate clearly to employees, customers, and executives.