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# Risk Staff Software Engineer

- **Company:** Intuit Inc.
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), A/B Testing, Artificial Intelligence, Continuous Integration, Data Presentation, Data Visualization, DevOps, Payment Systems, Python (Programming Language), Machine Learning, Cloud Services, Software Engineering, SQL Databases, Systems Integration, ReactJS, Spring-boot, Backend, Front End Software Development, GPT, Data Pipelines
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/risk-staff-software-engineer-mountain-view-ca-usa-58879346

## About the Role

risk to foster collaboration and innovation * Utilize AI/ML techniques and risk analytics to power decision-making and feature development * Partner with product managers to define analytics needs, metrics, and executive dashboards * Build data pipelines and models for risk data ensuring automation and scalability * Conduct A/B testing and interpret results to optimize platform efficiency * Stay updated on Fintech and AI technologies to identify opportunities for innovation Tasks * 10+ years of professional software development experience with front-end React and back-end Java/Spring Boot * Hands-on experience with GenAI concepts and frameworks (e.g., OpenAI, GPT-3/4, SageMaker, Bedrock) and integrating AI into applications * Prior experience in risk and compliance domains within financial platforms * Strong knowledge of Fintech concepts, including payment systems, risk analytics, and compliance strategies * Advanced proficiency in AWS cloud solutions and modern CI/CD/DevOps practices * a
frameworks in Python, SQL, and data visualization frameworks * Excellent problem-solving, analytical, and data storytelling abilities * Proven ability to collaborate across engineering, product, and analytics teams * Motivated, results-oriented, comfortable with ambiguity Key requirements * competitive compensation * bonus eligibility * equity rewards * benefits package

## Description

Experteer Overview In this role you will help shape the Intuit Fintech Risk Platform by delivering scalable front-end and back-end solutions with GenAI integration. You will collaborate with cross-functional teams to strengthen risk and compliance capabilities at scale. You will lead AI-powered features, build risk data pipelines, and create dashboards that inform decision-making. This role offers the chance to influence fintech risk architecture and contribute to innovative, enterprise-grade applications. Compensation / Benefits * Design and develop scalable software for the Fintech Risk Platform using React on the front-end and Java/Spring Boot on the back-end * Collaborate with cross-functional teams to gather requirements, prioritize features, and optimize risk and compliance capabilities * Drive AI-enhanced applications by applying GenAI concepts and frameworks * Analyze and mitigate risks across the Fintech ecosystem with robust compliance measures * Mentor and coach junior engineers to foster collaboration and innovation * Utilize AI/ML techniques and risk analytics to power decision-making and feature development * Partner with product managers to define analytics needs, metrics, and executive dashboards * Build data pipelines and models for risk data ensuring automation and scalability * Conduct A/B testing and interpret results to optimize platform efficiency * Stay updated on Fintech and AI technologies to identify opportunities for innovation Tasks * 10+ years of professional software development experience with front-end React and back-end Java/Spring Boot * Hands-on experience with GenAI concepts and frameworks (e.g., OpenAI, GPT-3/4, SageMaker, Bedrock) and integrating AI into applications * Prior experience in risk and compliance domains within financial platforms * Strong knowledge of Fintech concepts, including payment systems, risk analytics, and compliance strategies * Advanced proficiency in AWS cloud solutions and modern CI/CD/DevOps practices * Proficiency in Python, SQL, and data visualization frameworks * Excellent problem-solving, analytical, and data storytelling abilities * Proven ability to collaborate across engineering, product, and analytics teams * Motivated, results-oriented, comfortable with ambiguity Key requirements * competitive compensation * bonus eligibility * equity rewards * benefits package


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